Computer-Assisted-Clinical-Medicine/Networks_for_Affine_Medical_Image_Registration
Affine medical image registration using deep learning
This project helps medical professionals align different 3D medical images, such as MRI or CT scans, to precisely map patient anatomy. You input two or more 3D medical image scans, and it outputs a transformed version of one image, accurately aligned to the other. This tool is designed for radiologists, surgeons, and researchers who need to combine information from multiple imaging modalities for diagnosis, treatment planning, or research.
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Use this if you need to accurately overlay and compare different types of 3D medical images, like a pre-operative MRI with real-time ultrasound, for improved clinical decision-making.
Not ideal if you are working with 2D images only or require non-medical image alignment, as it's specifically tailored for 3D medical image registration.
Stars
22
Forks
4
Language
Python
License
GPL-3.0
Category
Last pushed
Jun 22, 2023
Commits (30d)
0
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