PRT-Net: a progressive refinement transformer for dose prediction to guide ovarian transposition

IntroductionYoung cervical cancer patients who require ovarian transposition usually have their ovaries moved away from the pelvic radiotherapy (RT) field before radiotherapy. The dose of ovaries during radiotherapy is closely related to the location of the ovaries. To protect ovarian function and a...

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Bibliographic Details

Published in:	Frontiers in Oncology
Main Authors:	Shunyao Luan, Yi Ding, Changchao Wei, Yi Huang, Zilong Yuan, Hong Quan, Chi Ma, Benpeng Zhu, Xudong Xue, Wei Wei, Xiao Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-05-01
Subjects:	artificial intelligence deep learning dose prediction ovarian transposition radiotherapy
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1372424/full