MungoMeng/Registration-AutoFuse
AutoFuse: Automatic Fusion Networks for Unsupervised and Semi-supervised Medical Image Registration
This project helps medical professionals and researchers accurately align different medical images, such as MRI or CT scans, to compare changes or integrate information. It takes in two or more medical images that need to be aligned and produces a precisely registered image where anatomical features correspond correctly. This is designed for radiologists, imaging scientists, and clinicians who work with medical scans for diagnosis, treatment planning, or research.
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Use this if you need to precisely align medical images for better analysis, diagnosis, or treatment, and want to reduce human error and improve the consistency of registration.
Not ideal if you are working with non-medical images or require registration methods that rely solely on extensive manual labeling for every image pair.
Stars
13
Forks
1
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 08, 2025
Commits (30d)
0
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