Multiscale Local Enhancement Deep Convolutional Networks for the Automated 3D Segmentation of Gross Tumor Volumes in Nasopharyngeal Carcinoma: A Multi-Institutional Dataset Study

Multiscale Local Enhancement Deep Convolutional Networks for the Automated 3D Segmentation of Gross Tumor Volumes in Nasopharyngeal Carcinoma: A Multi-Institutional Dataset Study

PurposeAccurate segmentation of gross target volume (GTV) from computed tomography (CT) images is a prerequisite in radiotherapy for nasopharyngeal carcinoma (NPC). However, this task is very challenging due to the low contrast at the boundary of the tumor and the great variety of sizes and morpholo...

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Bibliographic Details
Main Authors: Geng Yang, Zhenhui Dai, Yiwen Zhang, Lin Zhu, Junwen Tan, Zefeiyun Chen, Bailin Zhang, Chunya Cai, Qiang He, Fei Li, Xuetao Wang, Wei Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Oncology
Subjects:
nasopharyngeal carcinoma
segmentation
deep learning
radiotherapy
CT images
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.827991/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.827991/full

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