PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation

PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation

IntroductionRadiation therapy is a common treatment option for Head and Neck Cancer (HNC), where the accurate segmentation of Head and Neck (HN) Organs-AtRisks (OARs) is critical for effective treatment planning. Manual labeling of HN OARs is time-consuming and subjective. Therefore, deep learning s...

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Bibliographic Details
Main Authors: Shunyao Luan, Changchao Wei, Yi Ding, Xudong Xue, Wei Wei, Xiao Yu, Xiao Wang, Chi Ma, Benpeng Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Oncology
Subjects:
head and neck cancer
radiation therapy
medical image
deep learning
automated segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1177788/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1177788/full

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