Crossmark

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

Crossref DOI link: https://doi.org/10.1007/S00330-019-06163-2

Published Online: 2019-04-30

Published Print: 2019-11

Update policy: https://doi.org/10.1007/SPRINGER_CROSSMARK_POLICY

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 http://orcid.org/0000-0002-5689-0343
Funding

Funding for this research was provided by:

Science and Technology Planning Project of Guangdong Province (2017A020215160)

Shenzhen Municipal Government (KQTD2016112809330877)
License Information

Text and Data Mining valid from 2019-04-30
More Information

Article History

Received: 15 November 2018

Revised: 18 February 2019

Accepted: 14 March 2019

First Online: 30 April 2019

Compliance with ethical standards

:

: The scientific guarantor of this publication is Dr. Jun Xia.

: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

: No complex statistical methods were necessary for this paper.

: Written informed consent was not required for this study because this was a retrospective study.

: Institutional Review Board approval was obtained.

: • retrospective• diagnostic or prognostic study• multicenter study