There are 18 repositories under pathology topic.
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Cancer metastasis detection with neural conditional random field (NCRF)
The PatchCamelyon (PCam) deep learning classification benchmark.
Tools for computational pathology
Fusing Histology and Genomics via Deep Learning - IEEE TMI
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
cGAN-based Multi Organ Nuclei Segmentation
AI-based pathology predicts origins for cancers of unknown primary - Nature
Evidence SARS-CoV-2 Emerged From a Biological Laboratory in Wuhan, China
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Python 3 library for the augmentation & normalization of H&E images
Digital Pathology Whole Slide Image Analysis Toolbox
Whole Slide Digital Pathology Image Tissue Localization
Federated Learning for Computational Pathology - Medical Image Analysis
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.
Repo for Tang et al, bioRxiv 454793 (2018)
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
CoRA Docs
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
Re-stained whole slide image alignment