Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation

Ling Zhang
Ling Zhang
Xiaosong Wang
Xiaosong Wang
Thomas Sanford
Thomas Sanford
Stephanie Harmon
Stephanie Harmon
Baris Turkbey
Baris Turkbey
Bradford J Wood
Bradford J Wood
Holger Roth
Holger Roth
Andriy Myronenko
Andriy Myronenko
Ziyue Xu
Ziyue Xu

IEEE Transactions on Medical Imaging, 2020.

被引用2|浏览11

摘要

Recent advances in deep learning for medical image segmentation demonstrate expert-level accuracy. However, application of these models in clinically realistic environments can result in poor generalization and decreased accuracy, mainly due to the domain shift across different hospitals, scanner vendors, imaging protocols, and patient po...更多

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