# SHI-Labs/SGL-Retinal-Vessel-Segmentation

<https://repo.masters-masters.com/en/repos/SHI-Labs/SGL-Retinal-Vessel-Segmentation>

[Home](https://repo.masters-masters.com/en) › [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) › [SGL-Retinal-Vessel-Segmentation](https://repo.masters-masters.com/en/repos/SHI-Labs/SGL-Retinal-Vessel-Segmentation)

SHI-Labs/SGL-Retinal-Vessel-Segmentation has 112 stars on GitHub. Its RepoMasters card: Prototype tier. \[MICCAI 2021\] Study Group Learning: Improving Retinal…

| Field | Value |
| --- | --- |
| Owner | [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) |
| Stars | 112 |
| Forks | 24 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SHI-Labs/SGL-Retinal-Vessel-Segmentation](https://github.com/SHI-Labs/SGL-Retinal-Vessel-Segmentation) |

## Repository

\[MICCAI 2021\] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE\_DB1.

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.