Automate whole slide image processing for tissue detection and tile extraction.
npx skills add https://github.com/hxk622/TokenDance --skill histolab-hxk622
Please help me install this Agent Skill. Skill: histolab Source: https://github.com/hxk622/TokenDance/tree/main/backend/app/skills/builtin/scientific/clinical/histolab Command: npx skills add https://github.com/hxk622/TokenDance --skill histolab-hxk622
This Skill automates the complex and time-consuming process of extracting and preprocessing tiles from large whole slide images (WSIs) in digital pathology, making them ready for analysis or deep learning.
Use the histolab skill to extract 100 random 512x512 tiles from the slide file 'slide.svs' and save them to the 'output/tiles/' directory.
High-intent search queries and answers about installing and using this skill.
You can extract tiles from whole slide images by automating tissue detection and using random, grid, or score-based strategies. This Skill processes large WSI files to extract uniform tiles for dataset preparation.
Whole slide image preprocessing for computational pathology involves detecting and segmenting tissue regions while filtering out background and artifacts. It applies stain normalization and quality control filters to prepare H&E slides for analysis.
Yes, OpenSlide works with H&E stained slides for tissue masking. This Skill utilizes OpenSlide and Pillow for efficient image handling, automatically identifying and segmenting tissue regions across various WSI formats.
Yes, you can extract uniform 512x512 pixel tiles from WSI files. The Skill allows you to specify tile dimensions and apply tissue coverage constraints, such as an 80% minimum threshold, for deep learning dataset preparation.
The best way to prepare H&E slide datasets for deep learning models is to automate tile extraction and image preprocessing. This Skill handles tissue detection, artifact removal, and stain normalization to ensure high-quality input data.
Limitations of tile extraction for whole slide images include potential artifacts in the extracted tiles. This Skill mitigates these issues by applying image preprocessing filters for artifact removal and stain normalization during dataset preparation.
Yezez9Process whole slide images for tissue detection and tile extraction.
robotlearning123Process whole slide images by detecting tissue regions and extracting tiles.
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jimmc414Extract tissue tiles from gigapixel whole slide images for ML datasets.
