Pathology CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. December 29, 2023
Computational Pathology | Pathology Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images. October 22, 2023
Pathology A Federated Learning Approach to Tumor Detection in Colon Histology Images. September 16, 2023
Pathology A digital score of peri-epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia. June 9, 2023
Biomedical Research | Computational Pathology | Pathology TIAToolbox as an end-to-end library for advanced tissue image analytics. September 28, 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
Digital Health | Oncology | Pathology A Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma. September 18, 2019
Pathology Micro-Net: A unified model for segmentation of various objects in microscopy images. April 22, 2019
Pathology Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images. November 11, 2017