AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications | Paper Citation Record

Observation 383a61dc-25a5-45d7-b7bd-d0d560c6ff98 · outbound

This paper cites World Oncology Forum amplifies its appeal in global fight against cancer,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications World Oncology Forum amplifies its appeal in global fight against cancer,

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This paper cites Artificial intelligence in r adiation oncology,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artificial intelligence in r adiation oncology,

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Observation 8d440ab2-04b9-4f6a-8da8-d8525cdc46c7 · outbound

This paper cites Cancer statistics, 2024,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Cancer statistics, 2024,

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This paper cites ChemGenX: AI in the Chemistry Classroom,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications ChemGenX: AI in the Chemistry Classroom,

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This paper cites Current State of Artificial Intelligence (AI) in Oncology: A Review,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Current State of Artificial Intelligence (AI) in Oncology: A Review,

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This paper cites Biomarker Discovery and Validation for Gastrointestinal Tumors: A Comprehensive review of Colorectal, Gastric, and Liver Cancers,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Biomarker Discovery and Validation for Gastrointestinal Tumors: A Comprehensive review of Colorectal, Gastric, and Liver Cancers,

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Observation 85aaed96-fda6-466e-b38b-0b3ea4dee96a · outbound

This paper cites Deep learning–based multi-omics integration robustly predicts survival in liver cancer,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Deep learning–based multi-omics integration robustly predicts survival in liver cancer,

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This paper cites Premenopausal breast cancer: potential clinical utility of a multi -omics based machine learning approach for patient stratification,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Premenopausal breast cancer: potential clinical utility of a multi -omics based machine learning approach for patient stratification,

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This paper cites Variational autoencoders for cancer data integration: design principles and computational practice,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Variational autoencoders for cancer data integration: design principles and computational practice,

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This paper cites Deep learning-based multi-omics data integration reveals two prognostic subtypes in high-risk neuroblastoma,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Deep learning-based multi-omics data integration reveals two prognostic subtypes in high-risk neuroblastoma,

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This paper cites Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse,

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Observation 346781aa-ba1f-4bfd-9465-f6b2024096c2 · outbound

This paper cites SALMON: survival analysis learning with multi -omics neural networks on breast cancer,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications SALMON: survival analysis learning with multi -omics neural networks on breast cancer,

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This paper cites Advancements in Human Action Recognition Through 5G/6G Technology for Smart Cities: Fuzzy Integral -Based Fusion,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Advancements in Human Action Recognition Through 5G/6G Technology for Smart Cities: Fuzzy Integral -Based Fusion,

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This paper cites Integrating clinical and multiple omics data for prognostic assessment across human cancers. Sci Rep,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Integrating clinical and multiple omics data for prognostic assessment across human cancers. Sci Rep,

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This paper cites Modelling liver cancer microenvironment using a novel 3D culture system,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Modelling liver cancer microenvironment using a novel 3D culture system,

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This paper cites Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective,

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This paper cites Artificial intelligence in pancreatic cancer: diagnosis, limitations, and the future prospects —a narrative review,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artificial intelligence in pancreatic cancer: diagnosis, limitations, and the future prospects —a narrative review,

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Observation 3a986f88-2a14-40d7-b9a4-c80eefa26d01 · outbound

This paper cites Machine learning applications in cancer prognosis and prediction,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Machine learning applications in cancer prognosis and prediction,

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Observation d0478e5d-e5b4-456a-a749-960a45673173 · outbound

This paper cites Artifi cial intelligence (AI) and big data in cancer and precision oncology,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artifi cial intelligence (AI) and big data in cancer and precision oncology,

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This paper cites Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future,

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Observation 33dc207d-c49d-4867-824d-82ba01f07bc8 · outbound

This paper cites Advances in artificial intelligence to predict cancer immunotherapy efficacy,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Advances in artificial intelligence to predict cancer immunotherapy efficacy,

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Observation 6c5df636-e25c-4784-90ca-ebb3396cc1a2 · outbound

This paper cites Liquid biopsies: the future of cancer early detection,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Liquid biopsies: the future of cancer early detection,

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Observation 95eeaa17-f1f9-4c09-8a13-55cf57aca054 · outbound

This paper cites Narrowing the gap: imaging disparities in radiology,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Narrowing the gap: imaging disparities in radiology,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Clinically applicable deep learning for diagnosis and referral in retinal disease,

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This paper cites Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology,

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This paper cites Human Action Recognition (HAR) Using Skeleton-based Spatial Temporal Relative Transformer Network: ST-RTR.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Human Action Recognition (HAR) Using Skeleton-based Spatial Temporal Relative Transformer Network: ST-RTR

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Observation aa3c27d5-9f5e-4afd-b74b-3e4d704dcec2 · outbound

This paper cites Artificial intelligence of things for smarter healthcare: a survey of advancements, challenges, and opportunities,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artificial intelligence of things for smarter healthcare: a survey of advancements, challenges, and opportunities,

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This paper cites Russo, The Future of Prevention and Treatment of Breast Cancer.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Russo, The Future of Prevention and Treatment of Breast Cancer

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Global percep tions of women on breast cancer and barriers to screening,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications A hybrid deep learning model for effective segmentation and classification of lung nodules from CT images,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Application of machine learning in CT images and X -rays of COVID -19 pneumonia,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Digital pathology and computational image analysis in nephropathology,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Next-generation sequencing: insights to advance clinical investigations of the microbiome,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Harnessing multimodal data integration to advance precision oncology,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artificial intelligence in cancer research and precision medicine: Applications, limitations and priorities to drive transformation in the delivery of equitable and unbiased care,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications A machine learning model identifies patients in need of autoimmune disease testing using electronic health records,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artificial intelligence in clinical research of cancers,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artificial Intelligence Failure at IBM'Watson for Oncology',

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Can Artificial Intelligence Help See Cancer in New Ways,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Artificial intelligence in ne uro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment,

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This paper cites Extended multi- stream temporal-attention module for skeleton -based human action recognition (HAR),.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Extended multi- stream temporal-attention module for skeleton -based human action recognition (HAR),

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications High -dimensional role of AI and machine learning in cancer research,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Predicting cancer outcomes with radiomics and artificial intelligence in radiology,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Recent advances in machine -learning-based chemoinformatics: a comprehensive review,

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This paper cites European cancer mortality predictions for the year 2023 with focus on lung cancer,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications European cancer mortality predictions for the year 2023 with focus on lung cancer,

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This paper cites Metastatic non -small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow -up,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Metastatic non -small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow -up,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Roles of tumor heterogeneity in the development of drug resistance: A call for precision therapy,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Radiomics: the bri dge between medical imaging and personalized medicine,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Cloud computing for genomic data analysis and collaboration,

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This paper cites A five -gene signature and clinical outcome in non –small-cell lung cancer,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications A five -gene signature and clinical outcome in non –small-cell lung cancer,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Compar ative mass spectrometry- based metabolomics strategies for the investigation of microbial secondary metabolites,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Similarity network fusion for aggregating data types on a genomic scale,

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This paper cites Extended Multi- Stream Adaptive Graph Convolutional Networks (EMS -AAGCN) for Skeleton -Based Human Action Recognition,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Extended Multi- Stream Adaptive Graph Convolutional Networks (EMS -AAGCN) for Skeleton -Based Human Action Recognition,

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Observation 9e2fe106-ca15-4d6d-b1a6-8c27cc45a6bd · outbound

This paper cites Gut microbiome, big data and machine learning to promote precision medicine for cancer,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Gut microbiome, big data and machine learning to promote precision medicine for cancer,

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AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Applications of machine learning in drug discovery and development,

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This paper cites Lung cancer LDCT screening and mortality reduction —evidence, pitfalls and future perspectives,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Lung cancer LDCT screening and mortality reduction —evidence, pitfalls and future perspectives,

Reference 59

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This paper cites Exposure to low dose computed tomography for lung cancer screening and risk of cancer: secondary analysis of trial data and risk -benefit analysis,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Exposure to low dose computed tomography for lung cancer screening and risk of cancer: secondary analysis of trial data and risk -benefit analysis,

Reference 60

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Observation 57d151d6-3fe0-4f7f-b587-1b540d797f9a · outbound

This paper cites A systematic survey of computer -aided diagnosis in medicine: Past and present developments,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications A systematic survey of computer -aided diagnosis in medicine: Past and present developments,

Reference 61

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Observation 135eddd6-f1a0-4718-a1d1-de3862deefce · outbound

This paper cites Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers,

Reference 62

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Observation 2eb2424f-b0f3-4acf-b03a-bd654d18f64f · outbound

This paper cites an unresolved cited work.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Unresolved cited work

Reference 63

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Observation 21cf7531-50a1-4c48-af49-5bfa7163a2e5 · outbound

This paper cites A review of lung cancer screening and the role of computer-aided detection,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications A review of lung cancer screening and the role of computer-aided detection,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.784141Z

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Observation 167fabe6-e242-409c-8032-831fee638306 · outbound

This paper cites Machine learning for lung cancer diagnosis, treatment, and prognosis,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Machine learning for lung cancer diagnosis, treatment, and prognosis,

Reference 65

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This paper cites COVID-MTL: Multitask learning with Shift3D and random -weighted loss for COVID -19 diagnosis and severity assessment,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications COVID-MTL: Multitask learning with Shift3D and random -weighted loss for COVID -19 diagnosis and severity assessment,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.790500Z

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Observation 497338d3-0a70-40a3-a1cf-3ea0499e3f03 · outbound

This paper cites Eye tracking based deep learning analysis for the early detection of diabetic retinopathy: A pilot study,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Eye tracking based deep learning analysis for the early detection of diabetic retinopathy: A pilot study,

Reference 67

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Observation 4c3a28c2-3757-4ec0-97d8-47dcc73e12eb · outbound

This paper cites LCSCNet: A multi -level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and- excitation module,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications LCSCNet: A multi -level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and- excitation module,

Reference 68

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Observation 4f935f6d-5b2a-45cd-b6fa-521c238b80f0 · outbound

This paper cites Solid waste image classification using deep convolutional neural network,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Solid waste image classification using deep convolutional neural network,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.799994Z

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Observation fe2b654e-cd7c-4216-99c4-3035cd7ba569 · outbound

This paper cites Texture appearance model, a new model-based segmentation paradigm, application on the segmentation of lung nodule in the CT scan of the chest,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Texture appearance model, a new model-based segmentation paradigm, application on the segmentation of lung nodule in the CT scan of the chest,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.803106Z

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Observation 3615c5f8-2d10-47d0-9fe6-cf26a5e49ac4 · outbound

This paper cites Computational conformal geometric methods for vision,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Computational conformal geometric methods for vision,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.806321Z

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This paper cites Image classification of root-trimmed garlic using multi-label and multi-class classification with deep convolutional neural network,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Image classification of root-trimmed garlic using multi-label and multi-class classification with deep convolutional neural network,

Reference 72

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Observation 495667b4-bb5e-494d-89d2-672be48802a2 · outbound

This paper cites Prior CT improves deep learning for malignancy risk estimation of screening-detected pulmonary nodules,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Prior CT improves deep learning for malignancy risk estimation of screening-detected pulmonary nodules,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.814206Z

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Observation cb5c3c55-c62c-4255-a363-58e417f2cce2 · outbound

This paper cites Deep residual learning for image recognition: A survey,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Deep residual learning for image recognition: A survey,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.817477Z

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This paper cites A heterogeneous two -stream network for human action recognition,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications A heterogeneous two -stream network for human action recognition,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.821086Z

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This paper cites Sybil: A validated deep learning model to predict future lung cancer risk from a single low -dose chest computed tomography,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Sybil: A validated deep learning model to predict future lung cancer risk from a single low -dose chest computed tomography,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.825186Z

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Observation f6e66531-8e6f-4859-974d-93da944cf505 · outbound

This paper cites mask R -CNN models,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications mask R -CNN models,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.828577Z

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Observation cdb49f4a-7804-41c9-9366-f724d75ae36e · outbound

This paper cites Modified U‐Net for cytological medical image segmentation,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Modified U‐Net for cytological medical image segmentation,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.831840Z

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This paper cites Few-shot out-of-distribution detection for automated screening in retinal OCT images using deep learning,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Few-shot out-of-distribution detection for automated screening in retinal OCT images using deep learning,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.835149Z

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This paper cites Geospatial immune variability illuminates differential evolution of lung adenocarcinoma,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Geospatial immune variability illuminates differential evolution of lung adenocarcinoma,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.839154Z

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This paper cites Multiple endocrine neoplasia type 1 with Zollinger –Ellison syndrome: clinicopathological analysis of a Japanese family with focus on menin immunohistochemistry,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Multiple endocrine neoplasia type 1 with Zollinger –Ellison syndrome: clinicopathological analysis of a Japanese family with focus on menin immunohistochemistry,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.842835Z

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This paper cites Separated channel attention convolutional neural network (SC -CNN- attention) to identify ADHD in multi-site rs-fMRI dataset,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Separated channel attention convolutional neural network (SC -CNN- attention) to identify ADHD in multi-site rs-fMRI dataset,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.846229Z

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Observation 49e754f9-5cec-4dc1-8efe-b36525707f26 · outbound

This paper cites Performance of Lung -RADS in different targ et populations: a systematic review and meta-analysis,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Performance of Lung -RADS in different targ et populations: a systematic review and meta-analysis,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.849559Z

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Observation a561daa1-f663-4c79-b123-118756149975 · outbound

This paper cites Lung cancer screening with low-dose computed tomography: current status in Germany,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Lung cancer screening with low-dose computed tomography: current status in Germany,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.853515Z

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Observation 5b23903a-e279-4339-abc7-80d4b41a264e · outbound

This paper cites frontiers Frontiers in Oncology ORIGINAL RESEARCH published: 08 June 2022,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications frontiers Frontiers in Oncology ORIGINAL RESEARCH published: 08 June 2022,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.856790Z

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Observation b626ee00-a60c-47bd-8936-f5596321a195 · outbound

This paper cites miRNAs in lung cancer. A systematic review identifies predictive and prognostic miRNA candidates for precision medicine in lung cancer,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications miRNAs in lung cancer. A systematic review identifies predictive and prognostic miRNA candidates for precision medicine in lung cancer,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.860021Z

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Observation 751fcde4-fddf-4f91-8b05-aa7ec7eb528d · outbound

This paper cites Lung adenocarcinoma and lung squamous cell carcinoma cancer classification, biomarker identification, and gene expression analysis using overlapping feature selection methods,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Lung adenocarcinoma and lung squamous cell carcinoma cancer classification, biomarker identification, and gene expression analysis using overlapping feature selection methods,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.862775Z

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This paper cites Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.865440Z

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This paper cites Classification of distribution power grid structures using inception v3 deep neural network,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Classification of distribution power grid structures using inception v3 deep neural network,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.868336Z

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This paper cites New controlled and unmonitored learning methods pulmonary and cancer progression characterisation,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications New controlled and unmonitored learning methods pulmonary and cancer progression characterisation,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.870986Z

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This paper cites PANTHER: pathway augmented nonnegative tensor factorization for HighER-order feature learning,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications PANTHER: pathway augmented nonnegative tensor factorization for HighER-order feature learning,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.873632Z

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Observation 25caedef-0995-4fac-833b-0779a1d2e583 · outbound

This paper cites ScanMap: supervised confounding aware non -negative matrix factorization for polygenic risk modeling,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications ScanMap: supervised confounding aware non -negative matrix factorization for polygenic risk modeling,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.876229Z

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This paper cites Extremely high genetic diversity in a single tumor points to prevalence of non-Darwinian cell evolution,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Extremely high genetic diversity in a single tumor points to prevalence of non-Darwinian cell evolution,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.878836Z

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Observation e5e1bfd3-3563-4a45-b9cd-34f0d80697c2 · outbound

This paper cites Pan -cancer analysis of whole -genome doubling and its association with patient prognosis,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Pan -cancer analysis of whole -genome doubling and its association with patient prognosis,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.881693Z

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Observation 55219c7e-7692-46aa-b6ef-e647ba811f29 · outbound

This paper cites Probability of cancer in pulmonary nodules detected on first screening CT,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Probability of cancer in pulmonary nodules detected on first screening CT,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.884578Z

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Observation 424c0b88-eb1d-4396-a237-588e0a49f0ea · outbound

This paper cites Characterization of lung nodule malignancy using hybrid shape and appearance features,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Characterization of lung nodule malignancy using hybrid shape and appearance features,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.887865Z

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Observation c6b049eb-46aa-4555-a71e-9cc5ae9fc72e · outbound

This paper cites Risk stratification of lung nodule s using 3D CNN-based multi -task learning,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Risk stratification of lung nodule s using 3D CNN-based multi -task learning,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.891321Z

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Observation 3a4cc3d3-1317-4a89-becb-339fafd3ed42 · outbound

This paper cites A collaborative computer aided diagnosis (C -CAD) system with eye -tracking, sparse attentional model, and deep learning,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications A collaborative computer aided diagnosis (C -CAD) system with eye -tracking, sparse attentional model, and deep learning,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.894751Z

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This paper cites Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out -of- the-box,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out -of- the-box,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.897900Z

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This paper cites Deep learning for malignancy risk estimation of pulmonary nodules detected at low-dose screening CT,.

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications Deep learning for malignancy risk estimation of pulmonary nodules detected at low-dose screening CT,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-10T14:16:54.901069Z

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