Automated measurement of hip–knee–ankle angle on the unilateral lower limb X-rays using deep learning

Significant inherent extra-articular varus angulation is associated with abnormal postoperative hip–knee–ankle (HKA) angle. At present, HKA is manually measured by orthopedic surgeons and it increases the doctors’ workload. To automatically determine HKA, a deep learning-based automated method for m...

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Bibliographic Details
Main Authors:	Cai, R. (Author), Guo, S. (Author), Li, J. (Author), Li, Q. (Author), Li, X. (Author), Pei, Y. (Author), Wang, J. (Author), Wei, S. (Author), Yang, W. (Author)
Format:	Article
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2021
Subjects:	Angle measurement ankle Ankle article Automated measurement Automated methods Central point clinical practice Clinical practices controlled study correlation coefficient deep learning Deep learning Deep Learning deep neural network Deep neural networks diagnostic imaging feasibility study hip HKA human Humans Image segmentation Internal points Intraclass correlation coefficients knee Law of cosines Lower Extremity lower limb major clinical study Mean square error Minimum mean square errors orthopedic surgeon Orthopedics prediction quantitative analysis reliability reproducibility Reproducibility of Results Retrospective Studies retrospective study X ray X rays X-ray X-Rays
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Automated measurement of hip–knee–ankle angle on the unilateral lower limb X-rays using deep learning

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