# MrGiovanni/ModelsGenesis

<https://repo.masters-masters.com/en/repos/MrGiovanni/ModelsGenesis>

[Home](https://repo.masters-masters.com/en) › [MrGiovanni](https://repo.masters-masters.com/en/owners/MrGiovanni) › [ModelsGenesis](https://repo.masters-masters.com/en/repos/MrGiovanni/ModelsGenesis)

MrGiovanni/ModelsGenesis has 796 stars on GitHub. Its RepoMasters card: Beta tier. \[MICCAI 2019 Young Scientist Award\] \[MedIA Best Paper Award\] Models…

| Field | Value |
| --- | --- |
| Owner | [MrGiovanni](https://repo.masters-masters.com/en/owners/MrGiovanni) |
| Stars | 796 |
| Forks | 143 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2019 |
| Topics | fine-tuning, representation-learning, transfer-learning, self-supervised-learning, 3d-model, pre-trained-model, foundation-models, feature-learning, 3d-segmentation, chest-ct |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [MrGiovanni/ModelsGenesis](https://github.com/MrGiovanni/ModelsGenesis) |

## Repository

\[MICCAI 2019 Young Scientist Award\] \[MedIA Best Paper Award\] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.

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

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