Preliminary Clinical Study of the Differences Between Interobserver Evaluation and Deep Convolutional Neural Network-Based Segmentation of Multiple Organs at Risk in CT Images of Lung Cancer

Background: In this study, publicly datasets with organs at risk (OAR) structures were used as reference data to compare the differences of several observers. Convolutional neural network (CNN)-based auto-contouring was also used in the analysis. We evaluated the variations among observers and the e...

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Bibliographic Details
Main Authors: Jinhan Zhu, Yimei Liu, Jun Zhang, Yixuan Wang, Lixin Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.00627/full