sdsubhajitdas/Brain-Tumor-Segmentation
Brain Tumor Segmentation done using U-Net Architecture.
This project helps medical professionals, like radiologists or oncologists, automatically identify and outline brain tumors in MRI images. You provide it with a T1-weighted contrast-enhanced brain MRI scan, and it outputs an image with the tumor region highlighted or masked. This assists in precise tumor localization for diagnosis, treatment planning, or research.
292 stars. No commits in the last 6 months.
Use this if you need to quickly and automatically generate segmentation masks for brain tumors from T1-weighted MRI scans.
Not ideal if you need to segment other types of medical imagery, require real-time processing in a clinical setting, or are working with different MRI sequences.
Stars
292
Forks
64
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 21, 2023
Commits (30d)
0
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