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

Qiaoliang Li Yuzhen XuZhewei ChenDexiang LiuShi-Ting FengMartin LawYufeng Ye Bingsheng Huang

Published in: BioMed research international (2018)

We successfully established a segmentation method for NPC based on deep learning in contrast-enhanced magnetic resonance imaging. Further clinical trials with dedicated algorithms are warranted.

Keyphrases

contrast enhanced
deep learning
convolutional neural network
magnetic resonance imaging
diffusion weighted
clinical trial
computed tomography
artificial intelligence
magnetic resonance
machine learning
diffusion weighted imaging
double blind