wdika/atommic
ATOMMIC: Advanced Toolbox for Multitask Medical Imaging Consistency
This toolbox helps medical imaging specialists like radiologists and researchers apply advanced AI to MRI scans. It takes raw MRI data and processes it to reconstruct clearer images, segment specific tissues or anomalies, or perform quantitative analysis. The output is enhanced medical images or derived insights, aiding in diagnosis and research.
Available on PyPI.
Use this if you need to perform accelerated MRI reconstruction, segment tissues, or conduct quantitative MRI analysis, especially for research or clinical prototyping.
Not ideal if you need a certified, out-of-the-box clinical diagnostic tool, as this is a research-oriented toolbox.
Stars
21
Forks
3
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 04, 2026
Commits (30d)
0
Dependencies
24
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wdika/atommic"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
dipy/dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for...
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
Project-MONAI/MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
Project-MONAI/monai-deploy-app-sdk
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify...