Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology | Paper Citation Record

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This paper cites T cell acute lymphoblastic leukemia (t-all): new insights into the cellular origins and infiltration mechanisms common and unique among hematologic malignancies.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology T cell acute lymphoblastic leukemia (t-all): new insights into the cellular origins and infiltration mechanisms common and unique among hematologic malignancies

Reference 1

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This paper cites A hematologist-level deep learning algorithm (bmsnet) for assessing the morphologies of single nuclear balls in bone marrow smears: algorithm development.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A hematologist-level deep learning algorithm (bmsnet) for assessing the morphologies of single nuclear balls in bone marrow smears: algorithm development

Reference 2

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This paper cites Timely diagnosis of acute lymphoblastic leukemia using artificial intelligence-oriented deep learning methods.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Timely diagnosis of acute lymphoblastic leukemia using artificial intelligence-oriented deep learning methods

Reference 3

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This paper cites Leukemia, lymphoma, and myeloma.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Leukemia, lymphoma, and myeloma

Reference 4

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This paper cites Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images

Reference 5

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This paper cites Pattern recognition of acute lymphoblastic leukemia (all) using computational deep learning.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Pattern recognition of acute lymphoblastic leukemia (all) using computational deep learning

Reference 6

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This paper cites a ger, and Joachim Sch \.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology a ger, and Joachim Sch \

Reference 7

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This paper cites Genetic biomarkers and their clinical implications in b-cell acute lymphoblastic leukemia in children.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Genetic biomarkers and their clinical implications in b-cell acute lymphoblastic leukemia in children

Reference 8

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This paper cites Asparaginase in the treatment of acute lymphoblastic leukemia in adults: Current evidence and place in therapy.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Asparaginase in the treatment of acute lymphoblastic leukemia in adults: Current evidence and place in therapy

Reference 9

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This paper cites Cancer statistics, 2023.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Cancer statistics, 2023

Reference 10

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This paper cites Use of car t-cell for acute lymphoblastic leukemia (all) treatment: a review study.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Use of car t-cell for acute lymphoblastic leukemia (all) treatment: a review study

Reference 11

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This paper cites A novel deep learning framework (dlf) for classification of acute lymphoblastic leukemia.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A novel deep learning framework (dlf) for classification of acute lymphoblastic leukemia

Reference 12

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This paper cites Peripheral bone relapse of paediatric tcf3-hlf positive acute lymphoblastic leukaemia during haematopoietic stem cell transplantation: A case report.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Peripheral bone relapse of paediatric tcf3-hlf positive acute lymphoblastic leukaemia during haematopoietic stem cell transplantation: A case report

Reference 13

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This paper cites Automated detection of b cell and t cell acute lymphoblastic leukaemia using deep learning.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Automated detection of b cell and t cell acute lymphoblastic leukaemia using deep learning

Reference 14

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Observation f86726cd-fce2-44f6-ae3e-e7bd8cf57b1d · outbound

This paper cites Interactions of b-lymphocytes and bone cells in health and disease.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Interactions of b-lymphocytes and bone cells in health and disease

Reference 15

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This paper cites Flt3 signaling in b lymphocyte development and humoral immunity.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Flt3 signaling in b lymphocyte development and humoral immunity

Reference 16

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This paper cites T cell development and t cell receptor structure.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology T cell development and t cell receptor structure

Reference 17

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This paper cites Comparative features and outcomes between paediatric t-cell and b-cell acute lymphoblastic leukaemia.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Comparative features and outcomes between paediatric t-cell and b-cell acute lymphoblastic leukaemia

Reference 18

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This paper cites Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Reference 19

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This paper cites Deep learning in medical image analysis.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Deep learning in medical image analysis

Reference 20

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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Unresolved cited work

Reference 21

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

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A systematic survey of computer-aided diagnosis in medicine: Past and present developments

Reference 22

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This paper cites Redefining radiology: a review of artificial intelligence integration in medical imaging.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Redefining radiology: a review of artificial intelligence integration in medical imaging

Reference 23

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This paper cites A scoping review of transfer learning research on medical image analysis using imagenet.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A scoping review of transfer learning research on medical image analysis using imagenet

Reference 24

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This paper cites Bo-allcnn: Bayesian-based optimized cnn for acute lymphoblastic leukemia detection in microscopic blood smear images.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Bo-allcnn: Bayesian-based optimized cnn for acute lymphoblastic leukemia detection in microscopic blood smear images

Reference 25

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This paper cites Mutual information based hybrid model and deep learning for acute lymphocytic leukemia detection in single cell blood smear images.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Mutual information based hybrid model and deep learning for acute lymphocytic leukemia detection in single cell blood smear images

Reference 26

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This paper cites A deep learning-based approach for the diagnosis of acute lymphoblastic leukemia.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A deep learning-based approach for the diagnosis of acute lymphoblastic leukemia

Reference 27

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This paper cites Leukemia diagnosis in blood slides using transfer learning in cnns and svm for classification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Leukemia diagnosis in blood slides using transfer learning in cnns and svm for classification

Reference 28

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This paper cites Development and evaluation of a leukemia diagnosis system using deep learning in real clinical scenarios.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Development and evaluation of a leukemia diagnosis system using deep learning in real clinical scenarios

Reference 29

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This paper cites An aggregated-based deep learning method for leukemic b-lymphoblast classification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology An aggregated-based deep learning method for leukemic b-lymphoblast classification

Reference 30

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This paper cites Method for diagnosis of acute lymphoblastic leukemia based on vit-cnn ensemble model.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Method for diagnosis of acute lymphoblastic leukemia based on vit-cnn ensemble model

Reference 31

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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Acute lymphoblastic leukemia (all) image dataset

Reference 32

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This paper cites A review: Data pre-processing and data augmentation techniques.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A review: Data pre-processing and data augmentation techniques

Reference 33

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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Cnn variants for computer vision: History, architecture, application, challenges and future scope

Reference 34

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This paper cites Attention-guided deep convolutional neural networks for skin cancer classification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Attention-guided deep convolutional neural networks for skin cancer classification

Reference 35

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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology 1-dimensional polynomial neural networks for audio signal related problems

Reference 36

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This paper cites A transdisciplinary review of deep learning research and its relevance for water resources scientists.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A transdisciplinary review of deep learning research and its relevance for water resources scientists

Reference 37

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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Transfer learning

Reference 38

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This paper cites Frequency Disentangled Residual Network.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Frequency Disentangled Residual Network

Reference 39

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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Training very deep neural networks: Rethinking the role of skip connections

Reference 40

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This paper cites Continuous-in-Depth Neural Networks.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Continuous-in-Depth Neural Networks

Reference 41

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This paper cites A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach

Reference 42

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This paper cites Pyramid graph networks with connection attentions for region-based one-shot semantic segmentation.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Pyramid graph networks with connection attentions for region-based one-shot semantic segmentation

Reference 43

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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Pruning depthwise separable convolutions for mobilenet compression

Reference 44

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This paper cites A new image classification approach via improved mobilenet models with local receptive field expansion in shallow layers.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A new image classification approach via improved mobilenet models with local receptive field expansion in shallow layers

Reference 45

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Observation 2ae81b55-1d88-4b95-ab31-8a0f514893d1 · outbound

This paper cites Shunt connection: An intelligent skipping of contiguous blocks for optimizing mobilenet-v2.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Shunt connection: An intelligent skipping of contiguous blocks for optimizing mobilenet-v2

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.311838Z

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This paper cites P2op—plant pathology on palms: A deep learning-based mobile solution for in-field plant disease detection.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology P2op—plant pathology on palms: A deep learning-based mobile solution for in-field plant disease detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.303747Z

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This paper cites When mobilenetv2 meets transformer: A balanced sheep face recognition model.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology When mobilenetv2 meets transformer: A balanced sheep face recognition model

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.295815Z

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This paper cites Deep learning approach in gregg shorthand word to english-word conversion.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Deep learning approach in gregg shorthand word to english-word conversion

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.287849Z

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This paper cites Convolutional neural network and its pretrained models for image classification and object detection: A survey.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Convolutional neural network and its pretrained models for image classification and object detection: A survey

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.280307Z

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This paper cites Micro-architecture design exploration template for automl case study on squeezesemauto.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Micro-architecture design exploration template for automl case study on squeezesemauto

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.272551Z

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This paper cites Image classification based on inception-v3 and a mixture of handcrafted features.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Image classification based on inception-v3 and a mixture of handcrafted features

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.264937Z

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Observation 9a861a62-de87-4607-beff-87c1fda5f480 · outbound

This paper cites Cnn based fundus images classification for glaucoma identification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Cnn based fundus images classification for glaucoma identification

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.256753Z

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Observation e0d49844-d41c-496e-994e-21c7b1de52a2 · outbound

This paper cites Damage detection using in-domain and cross-domain transfer learning.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Damage detection using in-domain and cross-domain transfer learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.249044Z

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This paper cites Towards indoor suctionable object classification and recycling: Developing a lightweight ai model for robot vacuum cleaners.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Towards indoor suctionable object classification and recycling: Developing a lightweight ai model for robot vacuum cleaners

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.241132Z

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Observation 4df3066d-02d6-4888-b7cd-0570a083d16c · outbound

This paper cites A survey on deep learning in medical image analysis.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A survey on deep learning in medical image analysis

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.233006Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26336161-5fbf-4a6b-b803-c8fe32d0872e · outbound

This paper cites Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.225168Z

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This paper cites Diffusion models for medical imaging.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Diffusion models for medical imaging

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.217027Z

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This paper cites Big data analytics for preventive medicine.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Big data analytics for preventive medicine

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.208962Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites an unresolved cited work.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Unresolved cited work

Reference 60

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Observation 79d8f7e4-05f7-4a41-8d67-2713d7a99926 · outbound

This paper cites Scalable ai deployment using cloud computing.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Scalable ai deployment using cloud computing

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.191468Z

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Observation d6853d6b-e60a-4ebd-bef6-6eab71e315c9 · outbound

This paper cites Searching for mobilenetv3.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Searching for mobilenetv3

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.183344Z

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Observation 304420ea-0dc5-4546-828a-68c8e8edcded · outbound

This paper cites Opportunities and obstacles for deep learning in biology and medicine.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Opportunities and obstacles for deep learning in biology and medicine

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.175053Z

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Observation 7d561897-0ef3-478d-94e5-2f9eea2abe8b · outbound

This paper cites What do we need to build explainable ai systems for the medical domain? Journal of Artificial Intelligence Research , 71:593--626, 2021.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology What do we need to build explainable ai systems for the medical domain? Journal of Artificial Intelligence Research , 71:593--626, 2021

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:01:41.166396Z

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Observation 9ec346fd-f623-4c70-84d8-1a5dce5d37eb · outbound

This paper cites write newline.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology write newline

Reference 65

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