# med-air/Endo-FM

<https://repo.masters-masters.com/en/repos/med-air/Endo-FM>

[Home](https://repo.masters-masters.com/en) › [med-air](https://repo.masters-masters.com/en/owners/med-air) › [Endo-FM](https://repo.masters-masters.com/en/repos/med-air/Endo-FM)

med-air/Endo-FM has 236 stars on GitHub. Its RepoMasters card: Prototype tier. \[MICCAI'23\] Foundation Model for Endoscopy Video Analysis via Large-scale…

| Field | Value |
| --- | --- |
| Owner | [med-air](https://repo.masters-masters.com/en/owners/med-air) |
| Stars | 236 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | foundation-model, miccai2023, self-supervised, endoscopy, video, large-scale, pre-train |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [med-air/Endo-FM](https://github.com/med-air/Endo-FM) |

## Repository

\[MICCAI'23\] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

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.