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

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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Bibliographic Details
Main Authors: Qiaoliang Li, Yuzhen Xu, Zhewei Chen, Dexiang Liu, Shi-Ting Feng, Martin Law, Yufeng Ye, Bingsheng Huang
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2018/9128527

Internet

http://dx.doi.org/10.1155/2018/9128527

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