secrierlab/HistoMIL
A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.
This tool helps researchers and pathologists analyze whole-slide images from tissue samples to identify patterns indicative of diseases. You can input digitized whole-slide images and use multiple instance learning to train models, evaluate their performance, and generate predictions for new samples. This is designed for researchers or computational pathologists who work with large histopathology datasets.
No commits in the last 6 months.
Use this if you need to apply advanced machine learning techniques, specifically multiple instance learning, to histopathology whole-slide images for disease detection or classification.
Not ideal if you are looking for a ready-to-use diagnostic tool that doesn't require programming or a deep understanding of machine learning workflows.
Stars
29
Forks
9
Language
Python
License
GPL-3.0
Category
Last pushed
May 21, 2024
Commits (30d)
0
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