DigitalSlideArchive/HistomicsTK
A Python toolkit for pathology image analysis algorithms.
This toolkit helps pathologists and researchers analyze high-resolution digital tissue images, often called whole-slide images. It takes these images as input and can segment nuclei, perform color normalization, and extract features. The output helps users quantify tissue characteristics and understand relationships between histology and clinical data.
466 stars. Available on PyPI.
Use this if you are a pathologist or biologist who needs to apply computational image analysis algorithms to digital pathology slides to quantify features or discover insights.
Not ideal if you are looking for a complete digital slide management system with a built-in user interface for annotations, as those functionalities have moved to companion projects.
Stars
466
Forks
127
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
20
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