Ressources of histopathology datasets

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

A Python toolkit for pathology image analysis algorithms.

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 o…

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

HEST: Bringing Spatial Transcriptomics and Histopathology together

An open access book on scientific visualization using python and matplotlib

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

Explainability for Vision Transformers

This repository is a collection of awesome things about vision prompts, including papers, code, etc.

Official repository of Agent Attention (ECCV2024)

一本系统地教你将深度学习模型的性能最大化的战术手册。

The offical implementation of the network architecture: Scale- and Slice- aware Network for 3D segmentation of organs and musculoskeletal structures in pelvic MRI

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 ex…

利用HuggingFace的官方下载工具从镜像网站进行高速下载。

A vision-language foundation model for computational pathology - Nature Medicine

Towards a general-purpose foundation model for computational pathology - Nature Medicine

Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

A curated list of prompt/adapter learning methods for vision-language models.

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

健康学习到150岁 - 人体系统调优不完全指南

[CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"

Benchmarking toolkit for patch-based histopathology image classification.

Representation Learning MSc course Summer Semester 2023