Computational Staining of Pathology Images to Study the Tumor ...
May 15, 2020 · We trained this HD-Staining model using pathology images of patients with lung adenocarcinoma from the National Lung Screening Trial (NLST) study with the nuclei of tumor cells, stromal cells, lymphocytes, macrophages, blood cells, and karyorrhexis manually labeled by expert pathologists.
Deep learning analysis of histopathological images predicts ...
Oct 25, 2024 · Studies have found that systematic analysis of histopathology images using computer algorithms can reveal hidden information that decodes tumour development and progression in lung cancer,...
Deep Learning for Lung Cancer Diagnosis, Prognosis and …
Herein, we systematically review the current Artificial Intelligence-based approaches using histological and cytological images of lung cancer. Most of the published literature centered on the distinction between lung adenocarcinoma, lung squamous cell carcinoma, and small cell lung carcinoma, reflecting the realistic pathologist’s routine.
Collection of Histological Images of Lung Cancer - IASLC
High-quality histology images of lung cancer based on the 2015 WHO classification.
Artificial Intelligence in Lung Cancer Pathology Image Analysis
Oct 28, 2019 · In this review, we aimed to provide an overview of current and potential applications for AI methods in lung cancer pathology image analysis. We first outlined the current challenges and opportunities in lung cancer pathology image analysis.
Histopathology images-based deep learning prediction of
Jan 18, 2024 · Small cell lung cancer (SCLC) is a highly aggressive subtype of lung cancer characterized by rapid tumor growth and early metastasis. Accurate prediction of prognosis and therapeutic...
Comprehensive analysis of lung cancer pathology images to …
Jul 10, 2018 · In this study, we developed image processing, tumor region recognition, image feature extraction, and risk prediction algorithms for pathology images of lung ADC.
Deep learning-based six-type classifier for lung cancer and …
Mar 29, 2021 · We developed the first deep learning-based six-type classifier for histopathological WSI classification of lung adenocarcinoma, lung squamous cell carcinoma, small cell lung carcinoma, pulmonary tuberculosis, organizing pneumonia, and normal lung.
Jun 12, 2024 · Here, we introduce HistoTME, a novel weakly supervised deep learning approach to infer the tumor microenvironment (TME) composition directly from histopathology images of NSCLC patients.
Predicting the Tumor Microenvironment Composition and
Jun 12, 2024 · Here, we introduce HistoTME, a novel weakly supervised deep learning approach to infer the tumor microenvironment (TME) composition directly from histopathology images of NSCLC patients.