Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study

Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study

Purpose. In this study, we proposed an automated deep learning (DL) method for head and neck cancer (HNC) gross tumor volume (GTV) contouring on positron emission tomography-computed tomography (PET-CT) images. Materials and Methods. PET-CT images were collected from 22 newly diagnosed HNC patients,...

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Bibliographic Details
Main Authors: Bin Huang, Zhewei Chen, Po-Man Wu, Yufeng Ye, Shi-Ting Feng, Ching-Yee Oliver Wong, Liyun Zheng, Yong Liu, Tianfu Wang, Qiaoliang Li, Bingsheng Huang
Format: Article
Language:English
Published: Hindawi-Wiley 2018-01-01
Series:Contrast Media & Molecular Imaging
Online Access:http://dx.doi.org/10.1155/2018/8923028

Internet

http://dx.doi.org/10.1155/2018/8923028

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