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Paper Citation Record · LEDGER

Classification based deep learning models for lung cancer and disease using medical images

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.01279.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.01279 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

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measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 24088b0a-8735-423f-b375-9815c6355203 · outbound

This paper cites Epidemiology of lung cancer.

Classification based deep learning models for lung cancer and disease using medical images Epidemiology of lung cancer

Reference 1

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Observation c2980e0f-2ec2-4272-85be-01248626ae18 · outbound

This paper cites National and subnational trends in cancer burden in china, 2005–20: An analysis of national mortality surveillance data.

Classification based deep learning models for lung cancer and disease using medical images National and subnational trends in cancer burden in china, 2005–20: An analysis of national mortality surveillance data

Reference 2

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Observation cfa85bc4-2983-40c1-a25c-e1b1ffafdf4f · outbound

This paper cites Immunotherapy efficacy prediction for non-small cell lung cancer using multi-view adaptive weighted graph convolutional networks.

Classification based deep learning models for lung cancer and disease using medical images Immunotherapy efficacy prediction for non-small cell lung cancer using multi-view adaptive weighted graph convolutional networks

Reference 3

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Observation 3653a13f-a552-4162-b9a3-dcccdd7f9112 · outbound

This paper cites Machine learning-based prediction of covid-19 diagnosis based on symptoms.

Classification based deep learning models for lung cancer and disease using medical images Machine learning-based prediction of covid-19 diagnosis based on symptoms

Reference 4

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Observation 61e85ee9-22eb-42f2-942d-e2ee7abef137 · outbound

This paper cites A novel hybrid deep learning method for early detection of lung cancer using neural networks.

Classification based deep learning models for lung cancer and disease using medical images A novel hybrid deep learning method for early detection of lung cancer using neural networks

Reference 5

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Observation 2c9acae9-b0a7-4cb8-9443-c27131e5daef · outbound

This paper cites A high-resolution image reconstruction method of lung nodules with b-spline-based whale optimization algorithm (b-woa) for electrical impedance tomography.

Classification based deep learning models for lung cancer and disease using medical images A high-resolution image reconstruction method of lung nodules with b-spline-based whale optimization algorithm (b-woa) for electrical impedance tomography

Reference 6

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Observation 7d2b03c4-9b4e-4102-b4d4-065471f2caf4 · outbound

This paper cites Experimental detection of early-stage lung and skin tumors based on super wideband imaging.

Classification based deep learning models for lung cancer and disease using medical images Experimental detection of early-stage lung and skin tumors based on super wideband imaging

Reference 7

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Source-reported events for the cited work

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Observation 5ce93ac9-1582-4c44-95e8-ee1fec5ee478 · outbound

This paper cites Autoencoder-based multimodal prediction of non-small cell lung cancer survival.

Classification based deep learning models for lung cancer and disease using medical images Autoencoder-based multimodal prediction of non-small cell lung cancer survival

Reference 8

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Observation b37b8984-6120-4b4d-aca8-63041bf8cebc · outbound

This paper cites A novel high-dimensional kernel joint non-negative matrix factorization with multimodal information for lung cancer study.

Classification based deep learning models for lung cancer and disease using medical images A novel high-dimensional kernel joint non-negative matrix factorization with multimodal information for lung cancer study

Reference 9

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Observation 7ab12c28-e244-4668-8ee2-66bfa2d60358 · outbound

This paper cites Segmentation of lung cancer- caused metastatic lesions in bone scan images using self-defined model with deep supervision.

Classification based deep learning models for lung cancer and disease using medical images Segmentation of lung cancer- caused metastatic lesions in bone scan images using self-defined model with deep supervision

Reference 10

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Observation 8b94dff3-45e1-4916-89c5-fea6e6b0251f · outbound

This paper cites Artificial intelligence: A critical review of applications for lung nodule and lung cancer.

Classification based deep learning models for lung cancer and disease using medical images Artificial intelligence: A critical review of applications for lung nodule and lung cancer

Reference 11

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Observation fdfdcfc1-2a84-4fbd-afeb-aa8372fa6957 · outbound

This paper cites The value of artificial intelligence in the diagnosis of lung cancer: A systematic review and meta-analysis.

Classification based deep learning models for lung cancer and disease using medical images The value of artificial intelligence in the diagnosis of lung cancer: A systematic review and meta-analysis

Reference 12

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Observation 6184427a-f864-455c-ba38-3d86ac93e569 · outbound

This paper cites Bag of tricks for image classification with convolutional neural networks.

Classification based deep learning models for lung cancer and disease using medical images Bag of tricks for image classification with convolutional neural networks

Reference 13

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Observation 0be7395a-8abe-4778-bf3b-606ebb0907ca · outbound

This paper cites Cbam: Convolutional block attention module.

Classification based deep learning models for lung cancer and disease using medical images Cbam: Convolutional block attention module

Reference 14

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Observation 519b0143-cc2a-49e4-bf6d-7dda0b2f8252 · outbound

This paper cites Lung cancer disease prediction with ct scan and histopathological images feature analysis using deep learning techniques.

Classification based deep learning models for lung cancer and disease using medical images Lung cancer disease prediction with ct scan and histopathological images feature analysis using deep learning techniques

Reference 15

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Observation d3573012-0c1e-48d7-abab-4fce5fc29761 · outbound

This paper cites Analysis of lung cancer by using deep neural network.

Classification based deep learning models for lung cancer and disease using medical images Analysis of lung cancer by using deep neural network

Reference 16

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Observation 41d55d69-2d1d-4aa9-8317-6bb8bcb794e8 · outbound

This paper cites Lung cancer histopatho- logical image classification using wavelets and alexnet.

Classification based deep learning models for lung cancer and disease using medical images Lung cancer histopatho- logical image classification using wavelets and alexnet

Reference 17

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Observation 878a333e-d79a-41df-a0ec-9c9bdf8c51e2 · outbound

This paper cites Lung cancer detection using modified alexnet architecture and support vector machine.

Classification based deep learning models for lung cancer and disease using medical images Lung cancer detection using modified alexnet architecture and support vector machine

Reference 18

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Observation a02bd885-f6f4-4d61-b69a-d01a329fa953 · outbound

This paper cites Lung cancer detection from ct scans using modified densenet with feature selection methods and ml classifiers.

Classification based deep learning models for lung cancer and disease using medical images Lung cancer detection from ct scans using modified densenet with feature selection methods and ml classifiers

Reference 19

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Observation ff164aac-c18b-40d0-b6d6-3ca395dd283e · outbound

This paper cites Optimal lung cancer detection based on cnn optimized and improved snake optimization algorithm.

Classification based deep learning models for lung cancer and disease using medical images Optimal lung cancer detection based on cnn optimized and improved snake optimization algorithm

Reference 20

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Observation d08389e4-9963-4b89-b4b2-5113ba6dc06b · outbound

This paper cites Lcdctcnn: Lung cancer diagnosis of ct scan images using cnn based model.

Classification based deep learning models for lung cancer and disease using medical images Lcdctcnn: Lung cancer diagnosis of ct scan images using cnn based model

Reference 21

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Observation e56f8885-8b40-42db-9152-e1acee829c09 · outbound

This paper cites Deep learning ensemble 2d cnn approach towards the detection of lung cancer.

Classification based deep learning models for lung cancer and disease using medical images Deep learning ensemble 2d cnn approach towards the detection of lung cancer

Reference 22

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Observation a36f87c4-8bfd-4292-a316-526ba77cab1a · outbound

This paper cites A deep learning architecture for multi-class lung diseases classification using chest x-ray (cxr) images.

Classification based deep learning models for lung cancer and disease using medical images A deep learning architecture for multi-class lung diseases classification using chest x-ray (cxr) images

Reference 23

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Observation 238b949c-efd2-47cd-9c59-4d142f269c13 · outbound

This paper cites Breath analysis system with convolutional neural network (cnn) for early detection of lung cancer.

Classification based deep learning models for lung cancer and disease using medical images Breath analysis system with convolutional neural network (cnn) for early detection of lung cancer

Reference 24

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Observation 8af6b6cf-93ff-4c40-a17c-e7e7a86234f1 · outbound

This paper cites A hybrid cnn- rnn approach for survival analysis in a lung cancer screening study.

Classification based deep learning models for lung cancer and disease using medical images A hybrid cnn- rnn approach for survival analysis in a lung cancer screening study

Reference 25

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Observation 1cea2a4d-253e-45d5-9fc1-5a86dcdf9600 · outbound

This paper cites Lc25000 lung and colon histopathological image dataset.

Classification based deep learning models for lung cancer and disease using medical images Lc25000 lung and colon histopathological image dataset

Reference 26

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Observation 40b85d88-5c6e-4042-9694-d645161cd71f · outbound

This paper cites The IQ-OTHNCCD Lung Cancer Dataset, 2021.

Classification based deep learning models for lung cancer and disease using medical images The IQ-OTHNCCD Lung Cancer Dataset, 2021

Reference 27

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Observation bcc92d1c-5f9c-4a65-a96c-381f95f98846 · outbound

This paper cites Lung and Colon Cancer Histopathological Image Dataset (LC25000).

Classification based deep learning models for lung cancer and disease using medical images Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 28

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Observation e7eb395d-c0d0-4f4d-a9c3-90571911e511 · outbound

This paper cites Identifying medical diagnoses and treatable diseases by image-based deep learning.

Classification based deep learning models for lung cancer and disease using medical images Identifying medical diagnoses and treatable diseases by image-based deep learning

Reference 29

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This paper cites Covidnet-ct: A tailored deep convolutional neural network design for detection of covid- 19 cases from chest ct images.

Classification based deep learning models for lung cancer and disease using medical images Covidnet-ct: A tailored deep convolutional neural network design for detection of covid- 19 cases from chest ct images

Reference 30

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This paper cites Squeeze-and-excitation networks.

Classification based deep learning models for lung cancer and disease using medical images Squeeze-and-excitation networks

Reference 31

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Classification based deep learning models for lung cancer and disease using medical images Rethinking the inception architecture for computer vision

Reference 32

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Observation cbe91c97-b0bf-45df-a2e3-0cc447f1e041 · outbound

This paper cites Exponen- tial moving average of weights in deep learning: Dynamics and benefits.

Classification based deep learning models for lung cancer and disease using medical images Exponen- tial moving average of weights in deep learning: Dynamics and benefits

Reference 33

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Observation f92c53f0-f5a1-47ca-9cff-707d0066aa4b · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Classification based deep learning models for lung cancer and disease using medical images SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 34

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This paper cites Decision curve analysis.

Classification based deep learning models for lung cancer and disease using medical images Decision curve analysis

Reference 35

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Observation 901cc16f-21ca-43ad-b1cc-4ce7dd50c59a · outbound

This paper cites Relation ex- plore convolutional block attention module for skin lesion classification.

Classification based deep learning models for lung cancer and disease using medical images Relation ex- plore convolutional block attention module for skin lesion classification

Reference 36

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Observation 4e74535b-27fe-4132-b287-97e502f5a74c · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

Classification based deep learning models for lung cancer and disease using medical images The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Reference 37

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Observation b03ab3bd-84b7-4de3-b116-b73e103b574b · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

Classification based deep learning models for lung cancer and disease using medical images Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 38

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Observation 9209f855-5d83-41c5-9bec-8f08de5058c6 · outbound

This paper cites Crorelu: Cross-crossing space-based visual activation function for lung cancer pathology image recognition.

Classification based deep learning models for lung cancer and disease using medical images Crorelu: Cross-crossing space-based visual activation function for lung cancer pathology image recognition

Reference 39

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Observation 140450e0-a8f7-4f81-b76a-ce003375232c · outbound

This paper cites Transformer-based semantic segmentation and cnn network for detection of histopathological lung cancer.

Classification based deep learning models for lung cancer and disease using medical images Transformer-based semantic segmentation and cnn network for detection of histopathological lung cancer

Reference 40

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Observation 680747d4-dd10-46d5-a45a-439730e13788 · outbound

This paper cites Lung- effnet: Lung cancer classification using efficientnet from ct-scan images.

Classification based deep learning models for lung cancer and disease using medical images Lung- effnet: Lung cancer classification using efficientnet from ct-scan images

Reference 41

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Observation 3070dcb4-ad41-47c3-bc97-123f32fa3404 · outbound

This paper cites Binary count ratio for lung cancer classification in computerized tomography scan images.

Classification based deep learning models for lung cancer and disease using medical images Binary count ratio for lung cancer classification in computerized tomography scan images

Reference 42

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Observation edc3a146-b064-40ef-ae19-49435200b850 · outbound

This paper cites Federated learning for healthcare applications.

Classification based deep learning models for lung cancer and disease using medical images Federated learning for healthcare applications

Reference 43

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Observation c1d2d018-a31d-4c84-98e6-028b3284df8b · outbound

This paper cites Generalizable and explainable deep learning for medical image comput- ing: An overview.

Classification based deep learning models for lung cancer and disease using medical images Generalizable and explainable deep learning for medical image comput- ing: An overview

Reference 44

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Pith citing papers

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