georg-wolfleingeorg-wolfleinCommunity·1 Agent Skills Included

pathology-foundation-models

Catalog and document pathology foundation models from research papers

Extracts training details, architectures, and dataset statistics from pathology research papers to maintain a curated model catalog. Calculates effective magnification values from patch sizes and augmentation settings without manual spreadsheet work. Cross-checks papers, GitHub repos, and Hugging Face pages to keep every table entry accurate and sourced.
npx skills add georg-wolflein/pathology-foundation-models --all -g -y

All Skills in This Repository (1)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install pathology-foundation-models?

Run `npx skills add georg-wolflein/pathology-foundation-models --all -g -y` in your terminal to install all skills in this collection globally.

What is a pathology foundation model?

It is a neural network pretrained on large collections of pathology slide images using self-supervised learning, producing reusable image features for downstream medical tasks.

How to add a new model to the catalog?

Place the paper PDF in the papers folder and ask your agent to add the model; it reads the paper, extracts all fields, and inserts a correctly formatted row.

How is effective magnification calculated?

The skill combines patch extraction magnification, patch size, input size, and random crop augmentation settings from the paper and the underlying SSL framework's code.

Do I need machine learning expertise to use this?

No. You provide the paper title, and the agent handles reading, extraction, calculation, and documentation with full source quotes for verification.

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