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数据与复现
CO
computational-pathology-agent
维护者 FreedomIntelligence · 最近更新 2026年4月1日
This agent speciali.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/computational-pathology-agent
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Version：1.0.0 Author：MD BABU MIA，PhD Date：February 2026。
- This agent specializes in analysis of Whole Slide Images (WSIs) ，用于 digital pathology. It leverages 深度学习 models (ResNet，ViT，HoverNet) to perform 分割，分类，、 feature extraction ，面向 gigapixel histology images。
原始文档
SKILL.md 摘录
Capabilities
- WSI Handling: Efficient reading/tiling of .svs, .ndpi, .tiff files (using OpenSlide/TiffSlide).
- Tissue Segmentation: Separation of tissue from background.
- Patch Extraction: Automated generation of patches for ML training/inference.
- Nuclei Segmentation: Integration with StarDist/HoverNet for cellular analysis.
- Feature Extraction: Generating feature vectors for slide-level clustering.
Usage
from Skills.Pathology_AI.Computational_Pathology_Agent.wsi_analyzer import WSIAnalyzer
## Initialize
path_agent = WSIAnalyzer(slide_path="./data/biopsy_001.svs")
适用场景
- Use computational-pathology-agent ，用于 clinical，translational，或 medical research tasks。
- Apply computational-pathology-agent when healthcare-specific guidance is required。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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