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"SS3DS" project makes use of unlabeled data to further improve the segmentation accuracy of SWINUNETR by semi-supervised deep learning.

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stevenleon99/Semi-Supervised-3D-Segmentation

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get pretrained weight

cd pretrained_weights
wget https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/swin_unetr.small_5000ep_f24_lr2e-4_pretrained.pt

get BTCV

cd data\PublicAbdominalData
wget https://www.dropbox.com/s/jnv74utwh99ikus/01_Multi-Atlas_Labeling.tar.gz # 01 Multi-Atlas_Labeling.tar.gz (1.53 GB)

training

To reproduce training locally, need to change the env to your local computer

training result

to reproduce the result, need to obtain:

saved_check_point
logs/valid_saved_log/01_Multi-Atlas_Labeling/[predict CT segmentation exams]

training result

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"SS3DS" project makes use of unlabeled data to further improve the segmentation accuracy of SWINUNETR by semi-supervised deep learning.

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