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...

Full description

Bibliographic Details

Published in:	BioMed Research International pp. 1 - 8
Main Authors:	Li, Qiaoliang, Xu, Yuzhen, Chen, Zhewei, Liu, Dexiang, Feng, Shi-Ting, Law, Martin, Ye, Yufeng, Huang, Bingsheng
Format:	diagnostic images equations & formulas research tables/charts Journal Article
Published:	Wiley-Blackwell 10/17/2018
Online Access:	View this record in EBSCOhost