# sunjesse/shape-attentive-unet

<https://repo.masters-masters.com/en/repos/sunjesse/shape-attentive-unet>

[Home](https://repo.masters-masters.com/en) › [sunjesse](https://repo.masters-masters.com/en/owners/sunjesse) › [shape-attentive-unet](https://repo.masters-masters.com/en/repos/sunjesse/shape-attentive-unet)

sunjesse/shape-attentive-unet has 100 stars on GitHub. Its RepoMasters card: Prototype tier. Code for our paper SAUNet: Shape Attentive U-Net for…

| Field | Value |
| --- | --- |
| Owner | [sunjesse](https://repo.masters-masters.com/en/owners/sunjesse) |
| Stars | 100 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sunjesse/shape-attentive-unet](https://github.com/sunjesse/shape-attentive-unet) |

## Repository

Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf published at MICCAI 2020.

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

## Nearby in Python

- [liangkaihua123456/Requirement\_Assistant\_Agent · ★ 100 · Python · Prototype](https://repo.masters-masters.com/en/repos/liangkaihua123456/Requirement_Assistant_Agent)
- [JieChiang/VRS-Zhiyuan-Recommendation · ★ 100 · Python · Prototype](https://repo.masters-masters.com/en/repos/JieChiang/VRS-Zhiyuan-Recommendation)
- [Outsider565/AdaRoPE · ★ 100 · Python · Prototype](https://repo.masters-masters.com/en/repos/Outsider565/AdaRoPE)
- [ghewgill/pyqver · ★ 100 · Python · Prototype](https://repo.masters-masters.com/en/repos/ghewgill/pyqver)
- [vpulim/mango · ★ 100 · Python · Prototype](https://repo.masters-masters.com/en/repos/vpulim/mango)
- [wesabe/fixofx · ★ 100 · Python · Prototype](https://repo.masters-masters.com/en/repos/wesabe/fixofx)

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