| Revised NMS-driven pipeline for heart valve regurgitation and Kawasaki disease coronary aneurysm localization | |
|---|---|
| 學年 | 114 |
| 學期 | 1 |
| 出版(發表)日期 | 2025-11-01 |
| 作品名稱 | Revised NMS-driven pipeline for heart valve regurgitation and Kawasaki disease coronary aneurysm localization |
| 作品名稱(其他語言) | |
| 著者 | Shih-Hsin Chen; Ho-Chang Kuo; Ken-Pen Weng; Kai-Sheng Hsieh; Ting-Yi Kao; Yi-Hui Chen; Mindy Ming-Huey Guo; Shih-Feng Liu; Chia-Hsuan Liao |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Computers in Biology and Medicine 198(Part A), 111125 |
| 摘要 | Object detection in echocardiography is still uncommon, yet precise localization of pediatric valvular regurgitation and Kawasaki-related coronary aneurysms is critical. We introduce two lightweight variants of non-maximum suppression, rNMS-P (used only at inference) and rNMS-TP (used during both training and inference), that improve YOLO v5 to v9 detectors without altering their backbones. The system combines horizontal boxes for valve jets with rotation-aware oriented boxes for coronary segments, applies anatomical constraints by keeping a single high-confidence box per class, and can relax this rule for well-represented lesions. On color and grayscale echocardiograms, rNMS-TP increased mAP@.5 from 79.7% to 80.5% for regurgitation and from 85.7% to 86.5% for Kawasaki disease, with gains up to 2.3% at the stricter mAP@.5:.95 threshold; rNMS-P provided up to a 2.1% boost, all with negligible computational cost, offering a practical path toward explainable, operator-independent cardiac image assessment. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 1879-0534 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/129682 ) |