Brain tumor segmentation using U-Net with BRATS 2017/2019 datasets. The project involves preprocessing MRI scans (FLAIR, T1, T2, T1c), applying U-Net for tumor segmentation, and evaluating model performance using metrics like Dice Coefficient. Implemented with TensorFlow, NumPy, OpenCV, and other essential libraries.
active 2024-11-23 → 2024-12-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 10 days from 2024-11-23 to 2024-12-02. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| JaideepBalde | 3 | 3 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.