Evaluation Exploration of Atlas-Based and Deep Learning-Based Automatic Contouring for Nasopharyngeal Carcinoma

Evaluation Exploration of Atlas-Based and Deep Learning-Based Automatic Contouring for Nasopharyngeal Carcinoma

PurposeThe purpose of this study was to evaluate and explore the difference between an atlas-based and deep learning (DL)-based auto-segmentation scheme for organs at risk (OARs) of nasopharyngeal carcinoma cases to provide valuable help for clinical practice.Methods120 nasopharyngeal carcinoma case...

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Bibliographic Details
Main Authors: Jinyuan Wang, Zhaocai Chen, Cungeng Yang, Baolin Qu, Lin Ma, Wenjun Fan, Qichao Zhou, Qingzeng Zheng, Shouping Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Oncology
Subjects:
atlas
deep learning (DL)
training
nasopharyngeal carcinoma (NPC)
auto-segmentation
organs at risk (OARs)
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.833816/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.833816/full

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