Artificial Intelligence Segmented Dynamic Video Images for Continuity Analysis in the Detection of Severe Cardiovascular Disease

In this paper, an artificial intelligence segmented dynamic video image based on the process of intensive cardiovascular and cerebrovascular disease monitoring is deeply investigated, and a sparse automatic coding deep neural network with a four layers stack structure is designed to automatically ex...

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Veröffentlicht in:	Frontiers in neuroscience Jg. 14; S. 618481
Hauptverfasser:	Zhu, Xi, Xia, Wei, Bao, Zhuqing, Zhong, Yaohui, Fang, Yu, Yang, Fei, Gu, Xiaohua, Ye, Jing, Huang, Wennuo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 10.02.2021 Frontiers Media S.A
Schlagworte:	Accuracy Algorithms Artificial intelligence Behavior Cardiac arrhythmia Cardiovascular disease Cardiovascular diseases Cerebrovascular diseases continuity analysis Death detection of severe cardiovascular disease Echolocation Electrocardiography Fibrillation Heart attacks Medical imaging Morphology Mortality Neural coding Neural networks Neuroscience Plaques Predictions segmented dynamic Sparsity Ventricle video imaging Wavelet transforms segmented dynamic detection of severe cardiovascular disease video imaging continuity analysis artificial intelligence
ISSN:	1662-453X, 1662-4548, 1662-453X
Online-Zugang:	Volltext
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