Abstract

Info

Title:: Lower limb joint angle calculation algorithm based on convolutional neural network in X-ray films

Author(s):: LIU Jingni1; SHENG Yuwu1; ZHAO Changxiu1; NIU Cunliang2; HUANG Guoyuan2; XU Changdong1; ZHAO Shanshan1; CHEN Bin1; 1. Department of Radiology, Wuwei Peoples Hospital, Wuwei 733000, China 2. Department of Orthopedics, Wuwei Peoples Hospital, Wuwei 733000, China

Keywords:: Keywords: convolutional neural network object detection feature point localization lower limb power line

Abstract:: Abstract: A convolutional neural network-based algorithm is proposed for calculating lower limb joint angle in X-ray films. After identifying the region of interest of a specific category in X-ray films through Yolov5 object detection model, U-Net model is used to perform heat map regression for identifying the key feature points, and then the lower limb joint angle is calculated. The results show that the proposed algorithm has higher accuracy than the previous algorithms and can obtain accurate and reliable results, providing references for clinical research and practice.