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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Detalles Bibliográficos
Autores principales: Huang, Bin, Chen, Zhewei, Wu, Po-Man, Ye, Yufeng, Feng, Shi-Ting, Wong, Ching-Yee Oliver, Zheng, Liyun, Liu, Yong, Wang, Tianfu, Li, Qiaoliang, Huang, Bingsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220410/
https://www.ncbi.nlm.nih.gov/pubmed/30473644
http://dx.doi.org/10.1155/2018/8923028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220410/
https://www.ncbi.nlm.nih.gov/pubmed/30473644
http://dx.doi.org/10.1155/2018/8923028

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