生物医学工程研究2026，Vol.45Issue(2)：111-118,8.DOI:10.19529/j.cnki.1672-6278.2026.02.06
基于改进YOLOv12的轻量级儿童腕部骨折的检测算法
A lightweight pediatric wrist fracture detection algorithm based on improved YOLOv12
摘要
Abstract
To address the issues of blurred boundaries and low detection accuracy for subtle fractures in Child's wrist X-ray ima-ges,as well as the high computational cost faced by some computer aided diagnosis(CAD)methods,we proposed a lightweight frac-ture detection algorithm based on improved YOLOv12.Firstly,a synergistic multi-scale backbone(SMSB)was constructed to enhance the collaborative extraction of shallow spatial details and deep semantic information.Secondly,a contextual detail alignment(CDA)module was designed to efficiently fuse multi-scale features.Finally,a lightweight bounding box quality prediction head(LBBQP-Head)was proposed to mitigate the mismatch between classification confidence and localization accuracy.Experimental results demon-strated that the proposed method achieved a mAP50 of 64.98%on the GRAZPEDWRI-DX dataset,outperformed the baseline and main-stream models including YOLOv8 and YOLOv11,while reducing model parameters by 73.41%.Furthermore,experiments on the HBFMID dataset validated the generalization capability of the proposed algorithm.This study can provide a high-precision and efficient technical solution for intelligent computer aided fracture diagnosis,specifically tailored for primary healthcare institutions.关键词
YOLOv12/骨折检测/儿童腕部骨折/轻量化网络/计算机辅助诊断Key words
YOLOv12/Fracture detection/Pediatric wrist fracture/Lightweight network/Computer aided diagnosis分类
医药卫生引用本文复制引用
张承昊,仇大伟,刘静..基于改进YOLOv12的轻量级儿童腕部骨折的检测算法[J].生物医学工程研究,2026,45(2):111-118,8.基金项目
国家自然科学基金项目(82174528) （82174528）
山东中医药大学科学研究基金项目(KYZK2024M14) （KYZK2024M14）
山东中医药大学"培根铸魂"研究生课程思政示范课程项目(YJSKCSZ202406) （YJSKCSZ202406）
山东中医药大学研究生提质创新课题(YJSTZCX2025071,YJSTZCX2025069). （YJSTZCX2025071,YJSTZCX2025069）
