Abstract

Info

Title:: Vertebral Cobb corner localization using neural network with Transformer and Vector Loss modules

Author(s):: CHEN Yao; GAO Yongbin; XIONG Yujie; School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

Keywords:: X-ray image Cobb angle Transformer Vector Loss neural network auxiliary diagnosis

Abstract:: Objective To calculate the Cobb angle by locating the vertebral corners. Methods Neural network was used to locate the coordinates of the vertebral corners. By embedding Transformer and Vector Loss modules, the problem of the poor accuracy in calculating the Cobb angle in X-ray images with low definition and different shooting angles was solved. Results In the MICCAI 2019 Open Spine Challenge data set, the proposed method achieved a symmetric mean absolute precentage error (SMAPE) as high as 9.01. Compared with the latest methods, the proposed method improved the SMAPE by 1.80. Conclusion The proposed algorithm with Transformer and Vector Loss modules is superior to the existing algorithms in accuracy and robustness, and can assist clinicians in selecting the treatment schemes suitable for patients.