Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network.

Objectives: To evaluate the performance of a novel three-dimensional (3D) joint convolutional and recurrent neural network (CNN-RNN) for the detection of intracranial hemorrhage (ICH) and its five subtypes (cerebral parenchymal, intraventricular, subdural, epidural, and subarachnoid) in non-contrast...

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Bibliographic Details

Published in:	European Radiology Vol. 29; no. 11; pp. 6191 - 6202
Main Authors:	Ye, Hai, Gao, Feng, Yin, Youbing, Guo, Danfeng, Zhao, Pengfei, Lu, Yi, Wang, Xin, Bai, Junjie, Cao, Kunlin, Song, Qi, Zhang, Heye, Chen, Wei, Guo, Xuejun, Xia, Jun
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Nov2019
Online Access:	View this record in EBSCOhost