REMEX Lab's home page.

Awesome List of Digital and Computational Pathology Resources

Histopathology Atlas contains whole slide images of various diseases

Pathology Atlas (English version of Patoloji Atlası)

Patoloji Atlası

BIBM2023 regular paper for "Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images"

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

Deep learning library for digital pathology, with both Tensorflow and PyTorch support.

Ressources of histopathology datasets

Python tool for stitching histopathology tissue fragments into artificial whole-mounts.

Repository for Histopathological Artifact Restoration Pipeline

Tools for computational pathology

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

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

This is the official PyTorch implementation of Structure Embedded Nucleus Classification for Histopathology Images

Pytorch implementation of NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

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

DeeperHistReg - Source Code

Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. 2024'