1. Application of Artificial Intelligence in Lung Cancer
    Hwa-Yen Chiu et al, 2022, Cancers CrossRef
  2. Weighted ensemble CNN for lung nodule classification: an evolutionary approach
    Amrita Naik et al, 2024, Multimedia Tools and Applications CrossRef
  3. Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review
    Hadrien T. Gayap et al, 2024, BioMedInformatics CrossRef
  4. 3D Multi-scale DenseNet for Malignancy Grade Classification of Pulmonary Nodules
    Weilun Wang et al, 2020, 2020 11th International Conference on Awareness Science and Technology (iCAST) CrossRef
  5. Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges
    Francisco Silva et al, 2022, Journal of Personalized Medicine CrossRef
  6. Ensemble framework based on attributes and deep features for benign-malignant classification of lung nodule
    Jianping Qiao et al, 2023, Biomedical Signal Processing and Control CrossRef
  7. Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scans
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  8. Deep Learning Algorithms for Diagnosis of Lung Cancer: A Systematic Review and Meta-Analysis
    Gabriele C. Forte et al, 2022, Cancers CrossRef
  9. Lung cancer detection by using probabilistic majority voting and optimization techniques
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