ProjectNeura/MIPCandy
Build a complete experiment pipeline for your PyTorch MIP model in 10 seconds.
This framework helps medical image processing researchers rapidly set up and run experiments for their deep learning models. It takes medical imaging datasets and a chosen network architecture, then outputs trained models and evaluation results, along with integrations for popular dashboards to monitor progress. It's designed for researchers developing and testing new ideas in medical image analysis.
245 stars. Available on PyPI.
Use this if you are a medical image processing researcher who wants to quickly prototype new deep learning models without spending time on boilerplate code for training, inference, and evaluation.
Not ideal if you are an end-user clinician or diagnostician looking for a ready-to-use application for medical image analysis.
Stars
245
Forks
37
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
Dependencies
12
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