(MICCAI 2025) WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Xinheng Lyu · Yuci Liang · Wenting Chen* · Meidan Ding · Jiaqi Yang · Guolin Huang ·
Daokun Zhang · Xiangjian He* · Linlin Shen*

^*Corresponding Authors

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

@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}
}