| Detection of coronary lesions in Kawasaki disease by Scaled-YOLOv4 with HarDNet backbone | |
|---|---|
| 學年 | 111 |
| 學期 | 1 |
| 出版（發表）日期 | 2023-01-20 |
| 作品名稱 | Detection of coronary lesions in Kawasaki disease by Scaled-YOLOv4 with HarDNet backbone |
| 作品名稱（其他語言） | |
| 著者 | 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 |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Frontiers in Cardiovascular Medicine 9 |
| 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. |
| 關鍵字 | Kawasaki disease;echocardiography;deep learning;object detection;Scaled-YOLOv4;HarDNet;coronary dilatation and brightness |
| 語言 | zh_TW |
| ISSN | 2297-055X |
| 期刊性質 | 國內 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/125873 ) |
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