Oncology | Pathology Spatial distance between tumor and lymphocyte can predict the survival of patients with resectable lung adenocarcinoma. May 23, 2024
Oncology | Pathology HoLy-Net: Segmentation of histological images of diffuse large B-cell lymphoma. January 18, 2024
Dermatology | Oncology | Pathology Differentiation and risk stratification of basal cell carcinoma with deep learning on histopathologic images and measuring nuclei and tumor microenvironment features. January 10, 2024
Pathology Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning. October 19, 2023
Computer Vision | Oncology | Pathology A novel cost function for nuclei segmentation and classification in imbalanced histopathology data-sets. October 5, 2023
Oncology | Pathology Deep learning-based stratification of gastric cancer patients from hematoxylin and eosin-stained whole slide images by predicting molecular features for immunotherapy response. June 25, 2023
Oncology | Pathology TSHVNet: Simultaneous Nuclear Instance Segmentation and Classification in Histopathological Images Based on Multiattention Mechanisms. December 2, 2022
Oncology | Pathology Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study. October 23, 2021