add swin_unetr btcv tutorial #740
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Signed-off-by: ahatamizadeh <[email protected]>
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Signed-off-by: ahatamizadeh <[email protected]>
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Signed-off-by: ahatamizadeh <[email protected]>
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Signed-off-by: ahatamizadeh <[email protected]>
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* add swin_unetr btcv tutorial Signed-off-by: ahatamizadeh <[email protected]> * add swin_unetr btcv tutorial Signed-off-by: ahatamizadeh <[email protected]> * add swin_unetr btcv tutorial Signed-off-by: ahatamizadeh <[email protected]> * add swin_unetr btcv tutorial Signed-off-by: ahatamizadeh <[email protected]> * add swin_unetr btcv tutorial Signed-off-by: ahatamizadeh <[email protected]> Co-authored-by: Nic Ma <[email protected]>
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Signed-off-by: ahatamizadeh [email protected]
Description
This PR adds a tutorial for multi-organ segmentation on BTCV dataset using Swin UNETR model. The model is based on the following:
[1]: Tang, Y., Yang, D., Li, W., Roth, H., Landman, B., Xu, D., Nath, V. and Hatamizadeh, A., 2021. Self-supervised pre-training of swin transformers for 3d medical image analysis. arXiv preprint arXiv:2111.14791.
[2]: Hatamizadeh, A., Nath, V., Tang, Y., Yang, D., Roth, H. and Xu, D., 2022. Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. arXiv preprint arXiv:2201.01266.
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