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
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 )