innat/medic-ai
AI Toolkit for Healthcare Imaging in Keras 3
This toolkit helps healthcare professionals or researchers analyze 2D and 3D medical images, such as CT or MRI scans, using advanced AI models. It takes raw medical image data as input and outputs classifications (e.g., disease detection) or segmentations (e.g., organ outlining). Medical imaging specialists and researchers who work with diagnostic images will find this useful for automating and enhancing their analysis workflows.
Use this if you need to build or apply machine learning models for tasks like identifying anomalies or segmenting organs in medical scans, and require robust tools for both 2D and 3D imaging.
Not ideal if you are looking for a pre-packaged, ready-to-use application with a graphical user interface for direct medical diagnosis without any coding.
Stars
20
Forks
3
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jan 30, 2026
Commits (30d)
0
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