1. 3D Multi-scale DenseNet for Malignancy Grade Classification of Pulmonary Nodules
   Weilun Wang et al, 2020 CrossRef
2. Application of Artificial Intelligence in Lung Cancer
   Hwa-Yen Chiu et al, 2022, Cancers CrossRef
3. Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges
   Francisco Silva et al, 2022, JPM CrossRef
4. Lung cancer detection by using probabilistic majority voting and optimization techniques
   Kubilay Muhammed Sünnetci et al, 2022, Int J Imaging Syst Tech CrossRef
5. Deep Learning Algorithms for Diagnosis of Lung Cancer: A Systematic Review and Meta-Analysis
   Gabriele C. Forte et al, 2022, Cancers CrossRef
6. Ensemble framework based on attributes and deep features for benign-malignant classification of lung nodule
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7. Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scans
   Yucheng Liu et al, 2024, J Transl Med CrossRef
8. Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review
   Hadrien T. Gayap et al, 2024, BioMedInformatics CrossRef
9. Weighted ensemble CNN for lung nodule classification: an evolutionary approach
   Amrita Naik et al, 2024, Multimed Tools Appl CrossRef
10. Computer-aided Diagnosis Technology Based on Deep Learning on CT Images of Pulmonary Nodules: A Survey
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12. A clinical trial termination prediction model based on denoising autoencoder and deep survival regression
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13. Attribute and Malignancy Analysis of Lung Nodule on Chest CT with Cause-and-Effect Logic
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