Open source tools for computational pathology - Nature BME

Cancer metastasis detection with neural conditional random field (NCRF)

Read and write TIFF files.

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

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Powerful, open-source AI tools for digital pathology.

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

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

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

Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "

A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images

This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

🔬 Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.

Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning

Digital Pathology Whole Slide Image Analysis Toolbox

Whole Slide Digital Pathology Image Tissue Localization

[ECCV 2024] Official Implementation of 《WSI-VQA: Interpreting Whole Slide Image by Generative Question Answering》

Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine