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.
翻译：角测量对于使Hallux valgus (HV) (一种常见的前脚畸形) 得到共鸣处理至关重要。 但是,它仍然取决于人工标签和测量,而人工标签和测量既费时,有时又不可靠。 这一过程的自动化是一个令人关切的问题。 但是,缺少数据集,而且基于关键点的、在作出估计方面取得巨大成功的方法,不适合这个领域。 为了解决问题,我们制作了一个数据集,并根据深层学习和线性回归制定了一种算法。 它显示了非常适合地面事实的能力。
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