Utilization of Artificial Intelligence in Echocardiography-Reference-Cited by-同舟云学术

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Utilization of Artificial Intelligence in Echocardiography

Published:2019-07-25 Issue:8 Volume:83 Page:1623-1629
ISSN:1346-9843
Container-title:Circulation Journal
language:en
Short-container-title:Circ J

Author:

Kusunose Kenya¹,Haga Akihiro²,Abe Takashi³,Sata Masataka¹

Affiliation:

1. Department of Cardiovascular Medicine, Tokushima University Hospital

2. Department of Medical Image Informatics, Graduate School of Biomedical Sciences, Tokushima University

3. Department of Radiology, Graduate School of Biomedical Sciences, Tokushima University

Publisher

Japanese Circulation Society

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Link

https://www.jstage.jst.go.jp/article/circj/83/8/83_CJ-19-0420/_pdf

Reference48 articles.

1. 1. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature 2015; 521: 436.

2. 2. Mozur P. Google’s AlphaGo defeats Chinese Go Master in win for AI. The New York Times 2017; B3.

3. 3. Lessmann N, van Ginneken B, Zreik M, de Jong PA, de Vos BD, Viergever MA, et al. Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. IEEE Trans Med Imaging 2018; 37: 615–625.

4. 4. van Hamersvelt RW, Zreik M, Voskuil M, Viergever MA, Isgum I, Leiner T. Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis. Eur Radiol 2019; 29: 2350–2359.

5. 5. Zhang N, Yang G, Gao Z, Xu C, Zhang Y, Shi R, et al. Deep learning for diagnosis of chronic myocardial infarction on nonenhanced cardiac cine MRI. Radiology 2019; 291: 606–617.

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