A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases

A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases

PurposeWhile artificial intelligence has shown great promise in organs-at-risk (OARs) auto segmentation for head and neck cancer (HNC) radiotherapy, to reach the level of clinical acceptance of this technology in real-world routine practice is still a challenge. The purpose of this study was to vali...

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Bibliographic Details
Main Authors: Yang Zhong, Yanju Yang, Yingtao Fang, Jiazhou Wang, Weigang Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Oncology
Subjects:
clinical evaluation
head and neck cancer
organs at risk
deep learning
auto segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.638197/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.638197/full

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