mlcommons/GaNDLF
A generalizable application framework for segmentation, regression, and classification using PyTorch
This framework helps medical researchers and clinical scientists build robust AI models for analyzing medical images like radiology scans and digitized tissue sections. You input your image datasets, and it outputs models capable of classifying findings, identifying specific regions (segmentation), or quantifying characteristics (regression) without writing complex code. It's designed for anyone working with medical imaging data who needs to develop reproducible and scalable deep learning solutions.
191 stars. No commits in the last 6 months.
Use this if you are a medical researcher or clinical scientist needing to develop, train, and deploy deep learning models for image analysis in clinical workflows without extensive programming expertise.
Not ideal if your primary goal is to perform basic image processing tasks or if your application domain is outside of medical imaging and computational precision medicine.
Stars
191
Forks
89
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 16, 2025
Commits (30d)
0
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