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

• المؤلفون الرئيسيون: Wong, Yun Ming, Yeap, Ping Lin, Ong, Ashley Li Kuan, Tuan, Jeffrey Kit Loong, Lew, Wen Siang, Lee, James Cheow Lei, Tan, Hong Qi
• مؤلفون آخرون: School of Physical and Mathematical Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Medicine, Health and Life Sciences; Physics; Deformable image registration; Adaptive radiotherapy
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/181833

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...