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histolab

8.1

by K-Dense-AI

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Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.

medical-imaging

8.1

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0

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Data & Analytics

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Quick Review

Exceptional skill for whole slide image processing with outstanding documentation. The SKILL.md provides clear overview with well-organized sections covering slide management, tissue detection, tile extraction strategies, filters, and visualization. The structure is exemplary: concise main document with comprehensive details delegated to five focused reference files. Task knowledge is exhaustive with complete code examples, three tiler strategies (Random/Grid/Score), multiple workflow patterns, and practical troubleshooting. Description clearly positions the skill for basic H&E pipelines vs advanced spatial proteomics. Novelty is strong—automating gigapixel WSI tile extraction with sophisticated tissue segmentation and scoring would consume many tokens if done iteratively via CLI. Minor limitation: while powerful for pathology pipelines, the domain is somewhat specialized compared to broadly applicable skills.

LLM Signals

Description coverage9
Task knowledge10
Structure10
Novelty8

GitHub Signals

6,861
817
49
3
Last commit 1 days ago

Publisher

K-Dense-AI logo
K-Dense-AI

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K-Dense-AI

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