# ternaus/robot-surgery-segmentation

<https://repo.masters-masters.com/en/repos/ternaus/robot-surgery-segmentation>

[Home](https://repo.masters-masters.com/en) › [ternaus](https://repo.masters-masters.com/en/owners/ternaus) › [robot-surgery-segmentation](https://repo.masters-masters.com/en/repos/ternaus/robot-surgery-segmentation)

ternaus/robot-surgery-segmentation has 638 stars on GitHub. Its RepoMasters card: Alpha tier. Wining solution and its improvement for MICCAI 2017 Robotic…

| Field | Value |
| --- | --- |
| Owner | [ternaus](https://repo.masters-masters.com/en/owners/ternaus) |
| Stars | 638 |
| Forks | 212 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | medical-imaging, robot-assisted-surgery, computer-vision, image-segmentation, deep-learning, python, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ternaus/robot-surgery-segmentation](https://github.com/ternaus/robot-surgery-segmentation) |

## Repository

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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