Detection of coronary lesions in Kawasaki disease by Scaled-YOLOv4 with HarDNet backbone

Detection of coronary lesions in Kawasaki disease by Scaled-YOLOv4 with HarDNet backbone

IntroductionKawasaki disease (KD) may increase the risk of myocardial infarction or sudden death. In children, delayed KD diagnosis and treatment can increase coronary lesions (CLs) incidence by 25% and mortality by approximately 1%. This study focuses on the use of deep learning algorithm-based KD...

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Bibliographic Details
Main Authors: Ho-Chang Kuo, Shih-Hsin Chen, Yi-Hui Chen, Yu-Chi Lin, Chih-Yung Chang, Yun-Cheng Wu, Tzai-Der Wang, Ling-Sai Chang, I-Hsin Tai, Kai-Sheng Hsieh
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Kawasaki disease
echocardiography
deep learning
object detection
Scaled-YOLOv4
HarDNet
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.1000374/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.1000374/full

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