Starred repositories
[ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"
Emu Series: Generative Multimodal Models from BAAI
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~
This repository is a collection of awesome things about vision prompts, including papers, code, etc.
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Updated Dec 22, 2023
Official repository of Agent Attention (ECCV2024)
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 awesome prompt/adapter learning methods for vision-language models like CLIP.
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.