Feasibility study of adaptive radiotherapy for esophageal cancer using artificial intelligence autosegmentation based on MR-Linac

ObjectiveWe proposed a scheme for automatic patient-specific segmentation in Magnetic Resonance (MR)-guided online adaptive radiotherapy based on daily updated, small-sample deep learning models to address the time-consuming delineation of the region of interest (ROI) in the adapt-to-shape (ATS) wor...

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Bibliographic Details

Published in:	Frontiers in Oncology
Main Authors:	Huadong Wang, Xin Liu, Yajun Song, Peijun Yin, Jingmin Zou, Xihua Shi, Yong Yin, Zhenjiang Li
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-06-01
Subjects:	esophageal cancer adaptive radiotherapy MR-linac artificial intelligence automatic segmentation
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2023.1172135/full