MrGiovanni/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.

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Jupyter Notebook fine-tuning self-supervised-learning foundation-models medical-imaging medical-image-analysis unsupervised-learning pre-trained-model representation-learning 3d-segmentation transfer-learning mr 3d-model chest-ct ct feature-learning

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