There are 20 repositories under pathology topic.
Open source tools for computational pathology - Nature BME
Cancer metastasis detection with neural conditional random field (NCRF)
Pathology Foundation Model - Nature Medicine
The PatchCamelyon (PCam) deep learning classification benchmark.
Tools for computational pathology
A vision-language foundation model for computational pathology - Nature Medicine
Fusing Histology and Genomics via Deep Learning - IEEE TMI
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.
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational 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]
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
cGAN-based Multi Organ Nuclei Segmentation
AI-based pathology predicts origins for cancers of unknown primary - Nature
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
List of pathology feature extractors and foundation models
Evidence SARS-CoV-2 Emerged From a Biological Laboratory in Wuhan, China
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023
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.
Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024
Multimodal prototyping for cancer survival prediction - ICML 2024
🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
The official implementation of GPFM
Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024 Oral/ Best Paper Candidate)
Python 3 library for the augmentation & normalization of H&E images