neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
This tool helps neuroimaging researchers and clinicians segment and analyze 3D brain scans, such as MRI images. You input raw brain scan images, and it outputs segmented brain regions or masks, along with uncertainty maps for more robust analysis. It also allows for the generation of synthetic brain images, useful for training and research.
167 stars. Available on PyPI.
Use this if you need to precisely identify specific structures within 3D brain images for research or diagnostic purposes, especially when uncertainty quantification is important.
Not ideal if your primary need is 2D image processing or general-purpose deep learning outside of medical imaging applications.
Stars
167
Forks
43
Language
Python
License
—
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Dependencies
10
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