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.
@article{arxiv.2107.03640,
title = {A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing},
author = {Ningyuan Xu and Jiayan Zhuang and Yaojun Wu and Jiangjian Xiao},
journal= {arXiv preprint arXiv:2107.03640},
year = {2021}
}