Dootmaan/MT-UNet
Official Code for *Mixed Transformer UNet for Medical Image Segmentation*
This project helps medical professionals and researchers accurately identify and outline specific structures or regions within medical images, such as organs or tumors. It takes raw medical images (like MRI or CT scans) as input and outputs segmented images with the areas of interest clearly delineated. This tool is for medical imaging specialists, radiologists, and research scientists working with medical image analysis.
196 stars.
Use this if you need a high-performance deep learning model to precisely segment medical images for diagnostic, research, or surgical planning purposes.
Not ideal if you are looking for an out-of-the-box software with a graphical user interface, as this requires a technical setup to run the code.
Stars
196
Forks
31
Language
Python
License
MIT
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
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