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computational-pathology-agent
Maintainer FreedomIntelligence · Last updated April 1, 2026
This agent speciali.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/computational-pathology-agent
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- Version: 1.0.0 Author: MD BABU MIA, PhD Date: February 2026.
- This agent specializes in the analysis of Whole Slide Images (WSIs) for digital pathology. It leverages Deep Learning models (ResNet, ViT, HoverNet) to perform segmentation, classification, and feature extraction from gigapixel histology images.
Source Doc
Excerpt From SKILL.md
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")
Use cases
- Use computational-pathology-agent for clinical, translational, or medical research tasks.
- Apply computational-pathology-agent when healthcare-specific guidance is required.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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