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

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

Date Created 2021-08-10 (3 years ago)

Commits 27 (last one 3 years ago)

Stargazers 83 (0 this week)

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RepositoryStats indexes 630,443 repositories, of these arkanivasarkar/Retinal-Vessel-Segmentation-using-variants-of-UNET is ranked #347,457 (45th percentile) for total stargazers, and #555,755 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #66,386/128,655.

arkanivasarkar/Retinal-Vessel-Segmentation-using-variants-of-UNET is also tagged with popular topics, for these it's ranked: computer-vision (#2,049/3285), image-processing (#744/1172), keras (#536/809)

All Topics

unet keras jaccard-loss residual-unet attention-unet computer-vision image-processing keras-tensorflow patchwise-training jaccard-coefficient retinal-fundus-images intersection-over-union residual-attention-unet retinal-vessel-segmentation

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The only known language in this repository is Python

updated: 2025-03-22 @ 11:48am, id: 394761816 / R_kgDOF4eWWA