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. Computer-aided Diagnosis Technology Based on Deep Learning on CT Images of Pulmonary Nodules: A Survey
    Wang Yutao et al, 2023, 2023 IEEE Smart World Congress (SWC) CrossRef
  4. Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review
    Hadrien T. Gayap et al, 2024, BioMedInformatics CrossRef
  5. 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
  6. A clinical trial termination prediction model based on denoising autoencoder and deep survival regression
    Huamei Qi et al, 2024, Quantitative Biology CrossRef
  7. Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges
    Francisco Silva et al, 2022, Journal of Personalized Medicine CrossRef
  8. 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
  9. Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scans
    Yucheng Liu et al, 2024, Journal of Translational Medicine CrossRef
  10. Deep Learning Algorithms for Diagnosis of Lung Cancer: A Systematic Review and Meta-Analysis
    Gabriele C. Forte et al, 2022, Cancers CrossRef
  11. Lung cancer detection by using probabilistic majority voting and optimization techniques
    Kubilay Muhammed Sünnetci et al, 2022, International Journal of Imaging Systems and Technology CrossRef
  12. Uncertainty-aware image classification on 3D CT lung
    Rahimi Zahari et al, 2024, Computers in Biology and Medicine CrossRef