torchstain

Library for Digital Pathology Image Processing

cuCIM - RAPIDS GPU-accelerated image processing library

cGAN-based Multi Organ Nuclei Segmentation

Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]

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

List of pathology feature extractors and foundation models

Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings of The 3rd International Conference on Medical Imaging with Deep Learning (MIDL) 2020'

Encoder-Decoder Cell and Nuclei segmentation models

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

A pipeline to segment tissue from the background in histological images