Predicting dice similarity coefficient of deformably registered contours using Siamese neural network

Predicting dice similarity coefficient of deformably registered contours using Siamese neural network

Objective. Automatic deformable image registration (DIR) is a critical step in adaptive radiotherapy. Manually delineated organs-at-risk (OARs) contours on planning CT (pCT) scans are deformably registered onto daily cone-beam CT (CBCT) scans for delivered dose accumulation. However, evaluation of r...

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Bibliographic Details
Main Authors: Yeap, Ping Lin, Wong, Yun Ming, Ong, Ashley Li Kuan, Tuan, Jeffrey Kit Loong, Pang, Eric Pei Ping, Park, Sung Yong, Lee, James Cheow Lei, Tan, Hong Qi
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2024
Subjects:
Physics
Deformable image registration
Adaptive radiotherapy
Online Access:https://hdl.handle.net/10356/174260

Internet

https://hdl.handle.net/10356/174260

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