计算机工程与应用2025，Vol.61Issue(19)：74-91,18.DOI:10.3778/j.issn.1002-8331.2501-0153
深度学习在肋骨骨折辅助诊断中的应用
Application of Deep Learning in Auxiliary Diagnosis of Rib Fractures
摘要
Abstract
Rib fracture refers to the complete or partial destruction of the integrity of the rib structure,which is one of the most common chest trauma in clinic.In recent years,deep learning technology has shown great potential in the auxiliary diagnosis of fracture.Therefore,this paper summarizes the deep learning methods used in the auxiliary diagnosis of rib fracture.This paper introduces the public image data set,systematically expounds the application of classical convolutional neural network in rib fracture lesion recognition,expounds the improved algorithm of rib fracture based on single net-work,the improved algorithm of rib fracture based on multi-network,the original rib fracture lesion recognition algorithm and the application of artificial intelligence in rib fracture diagnosis,compares the advantages and limitations of different models,points out the existing difficulties in this field,and prospects the future optimization direction.关键词
深度学习/肋骨骨折/医学图像处理/计算机辅助诊断Key words
deep learning/rib fracture/medical image processing/computer-aided diagnosis分类
信息技术与安全科学引用本文复制引用
李智唯,刘静,张俊忠,魏德健,曹慧..深度学习在肋骨骨折辅助诊断中的应用[J].计算机工程与应用,2025,61(19):74-91,18.基金项目
国家自然科学基金(82374620,82174528). （82374620,82174528）
