# arkanivasarkar/Retinal-Vessel-Segmentation-using-variants-of-UNET

<https://repo.masters-masters.com/en/repos/arkanivasarkar/Retinal-Vessel-Segmentation-using-variants-of-UNET>

[Home](https://repo.masters-masters.com/en) › [arkanivasarkar](https://repo.masters-masters.com/en/owners/arkanivasarkar) › [Retinal-Vessel-Segmentation-using-variants-of-UNET](https://repo.masters-masters.com/en/repos/arkanivasarkar/Retinal-Vessel-Segmentation-using-variants-of-UNET)

arkanivasarkar/Retinal-Vessel-Segmentation-using-variants-of-UNET has 109 stars on GitHub. Its RepoMasters card: Prototype tier. Retinal vessel segmentation…

| Field | Value |
| --- | --- |
| Owner | [arkanivasarkar](https://repo.masters-masters.com/en/owners/arkanivasarkar) |
| Stars | 109 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | retinal-vessel-segmentation, retinal-fundus-images, computer-vision, image-processing, unet, residual-unet, attention-unet, residual-attention-unet, keras-tensorflow, keras |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [arkanivasarkar/Retinal-Vessel-Segmentation-using-variants-of-UNET](https://github.com/arkanivasarkar/Retinal-Vessel-Segmentation-using-variants-of-UNET) |

## Repository

Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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