ModelsGenesis
[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.
MrGiovanni/ModelsGenesis
View on GitHub ↗[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.
ModelsGenesis grew +0.4% in the last 30 days, ranks 28th of 57 in Foundation / LLM Models, last commit 60 days ago.
Star trajectory
115 days tracked+0.4% in 30d, above the Foundation / LLM Models median of +0.3%.
Last commit 60 days ago, fresher than the median of 144d.
How it compares in Foundation / LLM Models
Ranked 28th of 57 by stars.
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- 10
- Forks
- 143
- Watchers
- 13
- Open issues
- 28
- Releases
- 0
- Created
- 2019-07-24
- Stars this week
- +1
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