淡江大學機構典藏:Item 987654321/125873
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/125873


    Title: Detection of coronary lesions in Kawasaki disease by Scaled-YOLOv4 with HarDNet backbone
    Authors: Chen, Shih-hsin;Chang, Chih-yung;Wu, Yun-cheng
    Keywords: Kawasaki disease;echocardiography;deep learning;object detection;Scaled-YOLOv4;HarDNet;coronary dilatation and brightness
    Date: 2023-01-20
    Issue Date: 2024-08-07 12:06:01 (UTC+8)
    Abstract: 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.
    Relation: Frontiers in Cardiovascular Medicine 9,　1000374
    DOI: 10.3389/fcvm.2022.1000374
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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