WSI-finetuning

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)

A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

Stain normalization tools for histological analysis and computational pathology

List of pathology feature extractors and foundation models

A pipeline to segment tissue from the background in histological images

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%

The official implementation of GPFM

MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.

[ICLR 2025] Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology