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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Detalhes bibliográficos
Publicado no:Eur Radiol
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
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2019
Assuntos:
Imaging Informatics and Artificial Intelligence
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6795911/
https://ncbi.nlm.nih.gov/pubmed/31041565
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-019-06163-2
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