A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing

• DOI: 10.48550/arxiv.2107.03640
• Publication Date: 2022-04-15
• Authors: Xu, Ningyuan; Zhuang, Jiayan; Wu, Yaojun; Xiao, Jiangjian
• Keywords: FOS: Computer and information sciences; I.2.10; I.5.1; Computer Science - Artificial Intelligence; Computer Vision and Pattern Recognition (cs.CV); Computer Science - Computer Vision and Pattern Recognition; I.4.7; 02 engineering and technology; 03 medical and health sciences; Artificial Intelligence (cs.AI); 0302 clinical medicine; 0202 electrical engineering, electronic engineering, information engineering; I.4.7; I.2.10; I.5.1

Angular measurements is essential to make a resonable treatment for Hallux valgus (HV), a common forefoot deformity. However, it still depends on manual labeling and measurement, which is time-consuming and sometimes unreliable. Automating this process is a thing of concern. However, it lack of dataset and the keypoints based method which made a great success in pose estimation is not suitable for this field.To solve the problems, we made a dataset and developed an algorithm based on deep learning and linear regression. It shows great fitting ability to the ground truth.<br/>7pages, 12 figures<br/>