https://github.com/cvi-szu/wsi-agents
Science Score: 36.0%
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○Scientific vocabulary similarity
Low similarity (8.1%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: CVI-SZU
- Default Branch: main
- Size: 7.57 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
(MICCAI 2025) WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis
[Xinheng Lyu](https://scholar.google.com.hk/citations?user=4Id5lnYAAAAJ&hl) · [Yuci Liang]() · [Wenting Chen*](https://scholar.google.com/citations?user=3dtKW_8AAAAJ&hl) · [Meidan Ding](https://scholar.google.com/citations?user=u6-ueNoAAAAJ&hl) · [Jiaqi Yang]() · [Guolin Huang](https://scholar.google.com/citations?user=3Kv4D8MAAAAJ&hl) ·[Daokun Zhang](https://scholar.google.com/citations?user=ar_onRIAAAAJ&hl=en) · [Xiangjian He*](https://scholar.google.com/citations?user=BiBXGfIAAAAJ&hl) · [Linlin Shen*](https://scholar.google.com/citations?user=AZ_y9HgAAAAJ&hl) *Corresponding Authors [](https://arxiv.org/abs/2507.14680)
Description
WSI-Agents is a collaborative multi-agent system for multi-modal whole slide image analysis. The framework integrates specialized agents with verification mechanisms to enhance both task-specific accuracy and multi-task versatility in digital pathology.
Architecture
Key Components
- Task Allocation Module: Assigns tasks to expert agents using model zoo
- Verification Mechanism: Internal consistency and external knowledge validation
- Summary Module: Synthesizes results with visual interpretation
More Information
For code and implementation details, please see here.
Citation
bibtex
@article{lyu2025wsi,
title={WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis},
author={Lyu, Xinheng and Liang, Yuci and Chen, Wenting and Ding, Meidan and Yang, Jiaqi and Huang, Guolin and Zhang, Daokun and He, Xiangjian and Shen, Linlin},
journal={arXiv preprint arXiv:2507.14680},
year={2025}
}
Owner
- Name: Computer Vision Institute, SZU
- Login: CVI-SZU
- Kind: organization
- Location: Shenzhen Univeristy, Shenzhen, China
- Website: http://cv.szu.edu.cn/
- Repositories: 13
- Profile: https://github.com/CVI-SZU
Computer Vision Institute, Shenzhen University
GitHub Events
Total
- Push event: 2
Last Year
- Push event: 2