中国医疗设备2024，Vol.39Issue(6)：23-29,7.DOI:10.3969/j.issn.1674-1633.2024.06.004
Mask R-CNN算法在转子间骨折诊断中的应用研究
Application of Mask R-CNN Algorithm in the Diagnosis of Intertrochanteric Fracture
摘要
Abstract
Objective To develop a computer aided diagnosis(CAD)tool based on the Mask R-CNN algorithm,aiming to assist less-experienced physicians in the diagnosis of intertrochanteric fractures.Methods A total of 665 cases of intertrochanteric fracture X-ray data were selected as the research subjects.The data were divided into training set,validation set,and testing set in a ratio of 8∶0.5∶1.5.The network model was trained using transfer learning method to develop a CAD tool with capabilities of localization,segmentation,and classification for intertrochanteric fractures.Three resident doctors and three attending physicians were recruited to test the classification performance of the CAD tool.Results The CAD tool achieved an accuracy of 0.867,which was slightly lower compared to the average classification level of attending physicians at 0.888±0.010.With the assistance of the CAD tool,the average accuracy of resident doctors improved from 0.707±0.021 to 0.850±0.015.Although it did not reach the classification level of the attending physicians,the difference was not statistically significant(P=0.179).Conclusion The CAD tools can provide valuable assistance to doctors,aid inexperienced physicians in diagnosis and reduce the occurrence of misdiagnosis by offering effective auxiliary information.关键词
转子间骨折/Mask R-CNN/X光片/计算机辅助诊断Key words
intertrochanteric fractures/Mask R-CNN/X-ray/computer aided diagnosis分类
信息技术与安全科学引用本文复制引用
邓远阳,刘学思,聂瑞,李阳,张和华..Mask R-CNN算法在转子间骨折诊断中的应用研究[J].中国医疗设备,2024,39(6):23-29,7.基金项目
重庆市技术创新与应用发展专项重点项目(CSTB2021TIAD-KPX0074). （CSTB2021TIAD-KPX0074）
