# sdsubhajitdas/Brain-Tumor-Segmentation

<https://repo.masters-masters.com/en/repos/sdsubhajitdas/Brain-Tumor-Segmentation>

[Home](https://repo.masters-masters.com/en) › [sdsubhajitdas](https://repo.masters-masters.com/en/owners/sdsubhajitdas) › [Brain-Tumor-Segmentation](https://repo.masters-masters.com/en/repos/sdsubhajitdas/Brain-Tumor-Segmentation)

sdsubhajitdas/Brain-Tumor-Segmentation has 296 stars on GitHub. Its RepoMasters card: Alpha tier. Brain Tumor Segmentation done using U-Net Architecture.

| Field | Value |
| --- | --- |
| Owner | [sdsubhajitdas](https://repo.masters-masters.com/en/owners/sdsubhajitdas) |
| Stars | 296 |
| Forks | 63 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | deep-learning, image-segmentation, pytorch, unet, unet-image-segmentation, unet-pytorch, tumor-segmentation, brain-tumor-segmentation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [sdsubhajitdas/Brain-Tumor-Segmentation](https://github.com/sdsubhajitdas/Brain-Tumor-Segmentation) |

## Repository

Brain Tumor Segmentation done using U-Net Architecture.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.