Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images

Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images

BackgroundRadiotherapy is one of the main treatment methods for nasopharyngeal carcinoma (NPC). It requires exact delineation of the nasopharynx gross tumor volume (GTVnx), the metastatic lymph node gross tumor volume (GTVnd), the clinical target volume (CTV), and organs at risk in the planning comp...

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Bibliographic Details
Main Authors: Kuo Men, Xinyuan Chen, Ye Zhang, Tao Zhang, Jianrong Dai, Junlin Yi, Yexiong Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-12-01
Series:Frontiers in Oncology
Subjects:
automatic segmentation
target volume
deep learning
deep deconvolutional neural network
radiotherapy
Online Access:http://journal.frontiersin.org/article/10.3389/fonc.2017.00315/full

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http://journal.frontiersin.org/article/10.3389/fonc.2017.00315/full

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