OSUPCVLab/SegFormer3D
Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPR 2024)
This project helps medical researchers and clinicians automatically identify and outline structures within 3D medical images, such as brain tumors in MRI scans. It takes raw 3D medical scan data (like MRI volumes) as input and produces precise 3D segmentation masks, clearly marking specific regions of interest. It is designed for anyone working with volumetric medical imaging who needs to segment structures accurately and efficiently.
205 stars.
Use this if you need to perform highly accurate 3D segmentation on medical images like brain MRIs and prioritize efficiency in your analysis.
Not ideal if you are looking for a simple, out-of-the-box application with a graphical user interface, as this requires some technical setup and command-line execution.
Stars
205
Forks
31
Language
Python
License
GPL-3.0
Last pushed
Feb 17, 2026
Commits (30d)
0
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