A novel specific grading standard study of auto-segmentation of organs at risk in thorax: subjective–objective-combined grading standard

A novel specific grading standard study of auto-segmentation of organs at risk in thorax: subjective–objective-combined grading standard

Abstract Background To develop a novel subjective–objective-combined (SOC) grading standard for auto-segmentation for each organ at risk (OAR) in the thorax. Methods A radiation oncologist manually delineated 13 thoracic OARs from computed tomography (CT) images of 40 patients. OAR auto-segmentation...

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Bibliographic Details
Main Authors: Yanchen Ying, Hao Wang, Hua Chen, Jianfan Cheng, Hengle Gu, Yan Shao, Yanhua Duan, Aihui Feng, Wen Feng, Xiaolong Fu, Hong Quan, Zhiyong Xu
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BioMedical Engineering OnLine
Subjects:
SOC grading standard
Auto-segmentation
Thorax
Organs at risk
Online Access:https://doi.org/10.1186/s12938-021-00890-8

Internet

https://doi.org/10.1186/s12938-021-00890-8

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