Machine learning prediction of Dice similarity coefficient for validation of deformable image registration

Introduction: Deformable image registration (DIR) plays a vital role in adaptive radiotherapy (ART). For the clinical implementation of DIR, evaluation of deformation accuracy is a critical step. While contour-based metrics, for example Dice similarity coefficient (DSC), are widely implemented for D...

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Main Authors: Wong, Yun Ming, Yeap, Ping Lin, Ong, Ashley Li Kuan, Tuan, Jeffrey Kit Loong, Lew, Wen Siang, Lee, James Cheow Lei, Tan, Hong Qi
其他作者: School of Physical and Mathematical Sciences
格式: Article
語言:English
出版: 2024
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在線閱讀:https://hdl.handle.net/10356/181833
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