A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing
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Abstract (arXiv)
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.
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12 of 30 references.
References · 12
- 2016Stacked Hourglass Networks for Human Pose Estimationcited by 913
- 2018Simple Baselines for Human Pose Estimation and Trackingcited by 502
- 2016Convolutional Pose Machinescited by 325
- 2013DeepPose: Human Pose Estimation via Deep Neural Networkscited by 305
- 2014Efficient Object Localization Using Convolutional Networkscited by 226
- 2017Towards Accurate Multi-person Pose Estimation in the Wildcited by 131
- 2014Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimationcited by 129
- 2017Compositional Human Pose Regressioncited by 124
- 2015Human Pose Estimation with Iterative Error Feedbackcited by 121
- 2017Learning Feature Pyramids for Human Pose Estimationcited by 57
- 2016Human pose estimation via Convolutional Part Heatmap Regressioncited by 51
- 2016Recurrent Human Pose Estimationcited by 27
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