# Xiaoqi-Zhao-DLUT/MSNet-M2SNet

<https://repo.masters-masters.com/en/repos/Xiaoqi-Zhao-DLUT/MSNet-M2SNet>

[Home](https://repo.masters-masters.com/en) › [Xiaoqi-Zhao-DLUT](https://repo.masters-masters.com/en/owners/Xiaoqi-Zhao-DLUT) › [MSNet-M2SNet](https://repo.masters-masters.com/en/repos/Xiaoqi-Zhao-DLUT/MSNet-M2SNet)

Xiaoqi-Zhao-DLUT/MSNet-M2SNet has 1,031 stars on GitHub. Its RepoMasters card: Beta tier. (MIR 2026 \[M2SNet\] & MICCAI 2022 GOALS Challenge & MICCAI 2021…

| Field | Value |
| --- | --- |
| Owner | [Xiaoqi-Zhao-DLUT](https://repo.masters-masters.com/en/owners/Xiaoqi-Zhao-DLUT) |
| Stars | 1,031 |
| Forks | 87 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Xiaoqi-Zhao-DLUT/MSNet-M2SNet](https://github.com/Xiaoqi-Zhao-DLUT/MSNet-M2SNet) |

## Repository

(MIR 2026 \[M2SNet\] & MICCAI 2022 GOALS Challenge & MICCAI 2021 \[MSNet\]) Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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