machine_learning
PathML provides comprehensive machine learning capabilities for computational pathology, including pre-built models for nucleus detection and segmentation, PyTorch-integrated training workflows, public dataset access, and ONNX-based…
- Skills
- Scientific
- 0
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/machine-learning && curl -fsSL https://doutorai.pt/data/lib/skills__machine-learning.md -o .claude/skills/machine-learning/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Machine Learning
## Overview
PathML provides comprehensive machine learning capabilities for computational pathology, including pre-built models for nucleus detection and segmentation, PyTorch-integrated training workflows, public dataset access, and ONNX-based inference deployment. The framework seamlessly bridges image preprocessing with deep learning to enable end-to-end pathology ML pipelines.
## Pre-Built Models
PathML includes state-of-the-art pre-trained models for nucleus analysis:
### HoVer-Net
**HoVer-Net** (Horizontal and Vertical Network) performs simultaneous nucleus insta
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