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

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題名:	Detection of coronary lesions in Kawasaki disease by Scaled-YOLOv4 with HarDNet backbone
作者:	Chen, Shih-hsin;Chang, Chih-yung;Wu, Yun-cheng
關鍵詞:	Kawasaki disease;echocardiography;deep learning;object detection;Scaled-YOLOv4;HarDNet;coronary dilatation and brightness
日期:	2023-01-20
上傳時間:	2024-08-07 12:06:01 (UTC+8)
摘要:	Kawasaki 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 detection from cardiac ultrasound images.
關聯:	Frontiers in Cardiovascular Medicine 9,　1000374
DOI:	10.3389/fcvm.2022.1000374
顯示於類別:	[資訊工程學系暨研究所] 期刊論文

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