There are 19 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.
Towards a general-purpose foundation model for computational pathology - Nature Medicine
cGAN-based Multi Organ Nuclei Segmentation
AI-based pathology predicts origins for cancers of unknown primary - Nature
A vision-language foundation model for computational pathology - Nature Medicine
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Evidence SARS-CoV-2 Emerged From a Biological Laboratory in Wuhan, China
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.
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023
Python 3 library for the augmentation & normalization of H&E images
Digital Pathology Whole Slide Image Analysis Toolbox
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
Whole Slide Digital Pathology Image Tissue Localization
Federated Learning for Computational Pathology - Medical Image Analysis
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
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)