Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network

OBJECTIVES: To evaluate the application of a deep learning architecture, based on the convolutional neural network (CNN) technique, to perform automatic tumor segmentation of magnetic resonance imaging (MRI) for nasopharyngeal carcinoma (NPC). MATERIALS AND METHODS: In this prospective study, 87 MRI...

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Detalhes bibliográficos
Publicado no:Biomed Res Int
Main Authors: Li, Qiaoliang, Xu, Yuzhen, Chen, Zhewei, Liu, Dexiang, Feng, Shi-Ting, Law, Martin, Ye, Yufeng, Huang, Bingsheng
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi 2018
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6207874/
https://ncbi.nlm.nih.gov/pubmed/30417017
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/9128527
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