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By k-dense-ai

pathml

k-dense-ai1.7k installs

Reproducible local analysis of pathology slides.

What it does

Guides reproducible local pathology-image analysis with PathML, from slide preparation through bounded inference and provenance reporting.

When to use it

Use for research workflows involving whole-slide H&E, CODEX, Vectra, Mesmer, HoVer-Net, or HACTNet.

How to use it

Give it local pathology slides and an analysis request; it develops a bounded research workflow with saved analysis data, QC, and provenance.

What you provide

  • Your files

Uses

Good to know

  • advertises something the task does not need

Latest review

What you need · 7

The PathML dependency stack requires Python 3.10–3.12; the bundled standard-library planners and validators need Python 3.10+.

The analysis guidance targets pathml==3.0.8 and provides a pinned installation command.


Access · 2

This skill

https://arxiv.org/abs/2609.00065

Read

Fetches the current citation record

pathml

Execute

Installs the pinned PathML package