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

Angular measurements are essential for an appropriate 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 lacks a dataset, and the key points-based method that succeeded in pose estimation is not suitable for angle estimation. In this paper, We make a dataset and develop an algorithm based on image segmentation and linear regression to solve the problems. It shows the great fitting ability to the ground truth.