Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Deep Multi-Magnification Network for multi-class tissue segmentation of whole slide images

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

Lap Simulation package for CUFSAE, originally developed by the one and only Jonathan Vogel

Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

Python Whole Slide Image Preprocessing