Processes whole-slide pathology images with machine learning and spatial analysis.
npx skills add https://github.com/sanand0/scientific-research --skill pathml-sanand0
Please help me install this Agent Skill. Skill: pathml Source: https://github.com/sanand0/scientific-research/tree/main/.claude/skills/pathml Command: npx skills add https://github.com/sanand0/scientific-research --skill pathml-sanand0
This Skill automates complex computational pathology workflows, enabling advanced analysis of whole-slide images and multiparametric data without requiring deep expertise in image processing or machine learning libraries.
Use the pathml skill to load the whole-slide image at 'path/to/slide.svs' and generate tiles of size 256x256.
High-intent search queries and answers about installing and using this skill.
Analyze whole-slide pathology images using machine learning by loading diverse WSI formats, applying stain normalization, detecting nuclei, and training deep learning models for pathology data analysis.
Computational pathology workflows support over 160 whole slide imaging formats, including Aperio, Hamamatsu, DICOM, and OME-TIFF, facilitating seamless image loading and preprocessing.
Automate nucleus detection and segmentation on H&E stained slides using integrated deep learning models like HoVer-Net and HACTNet for precise classification and spatial graph construction.
Quantify tumor-infiltrating lymphocytes and their spatial distribution from histopathology images by constructing spatial graphs of cell-cell interactions and performing neighborhood analysis.
This computational pathology toolkit does not require deep expertise in image processing libraries, as it automates complex workflows for whole-slide images and multiparametric data analysis.
Preprocess pathology slides for tissue and artifact detection by applying stain normalization, tissue detection, and artifact labeling before generating tiles for machine learning analysis.
robinbarvaagProcess whole slide images and extract tissue tiles for deep learning datasets.
EpiphyticApplies deep learning methods to analyze and integrate single-cell genomics data.
jimmc414Processes computational pathology workflows with WSI loading, preprocessing, ML models, and spatial graphs.
Zeyuyang-0420Extract and preprocess whole slide images for digital pathology workflows.
