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References from Artificial intelligence for lung cancer classification in cytology specimens: A systematic review and diagnostic test accuracy meta-analysis of benign–malignant diagnosis and ADC/SCC/SCLC subtyping. Local targets link to admitted publications; unresolved targets remain external evidence.
Advances and challenges in the treatment of lung cancer
10.1016/j.biopha.2023.115891 · 2023 · External reference
Artificial intelligence and lung cancer: impact on improving patient outcomes
10.3390/cancers15215236 · 2023 · External reference
A prospective validation study of lung cancer gene panel testing using cytological specimens
10.3390/cancers14153784 · 2022 · External reference
Biomarker testing of cytology specimens in personalized medicine for lung cancer patients
10.4132/jptm.2022.10.17 · 2022 · External reference
Deep learning for lung cancer diagnosis, prognosis and prediction using histological and cytological images: a systematic review
10.3390/cancers15153981 · 2023 · External reference
Artificial intelligence in cytopathological applications for cancer: a review of accuracy and analytic validity
10.1186/s40001-024-02138-2 · 2024 · External reference
Optimizing lung cancer classification through hyperparameter tuning
2024 · External reference
The 2021 WHO classification of lung tumors: impact of advances since 2015
10.1016/j.jtho.2021.11.003 · 2022 · External reference
NSCLC subtyping in conventional cytology: results of the international association for the study of lung cancer cytology working group survey to determine specific cytomorphologic criteria for adenocarcinoma and squamous cell carcinoma
10.1016/j.jtho.2022.02.013 · 2022 · External reference
Advances in AI-based cancer cytopathology
2023 · External reference
Preferred reporting items for a systematic review and meta-analysis of diagnostic test accuracy studies: the PRISMA-DTA statement
10.1001/jama.2017.19163 · 2018 · External reference
The value of artificial intelligence in the diagnosis of lung cancer: a systematic review and meta-analysis
10.1371/journal.pone.0273445 · 2023 · External reference
Deep learning approach to classification of lung cytological images: two-step training using actual and synthesized images by progressive growing of generative adversarial networks
10.1371/journal.pone.0229951 · 2020 · External reference
Deep convolutional neural network-based classification of cancer cells on cytological pleural effusion images
10.1038/s41379-021-00987-4 · 2022 · External reference
A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images
10.1038/s41598-021-87644-7 · 2021 · External reference
Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study
10.1186/s12916-021-01953-2 · 2021 · External reference
Progress and challenges of artificial intelligence in lung cancer clinical translation
10.1038/s41698-025-00986-7 · 2025 · External reference