Fully automated measurement on coronal alignment of lower limbs using deep convolutional neural networks on radiographic images

Fully automated measurement on coronal alignment of lower limbs using deep convolutional neural networks on radiographic images

Abstract Background A deep convolutional neural network (DCNN) system is proposed to measure the lower limb parameters of the mechanical lateral distal femur angle (mLDFA), medial proximal tibial angle (MPTA), lateral distal tibial angle (LDTA), joint line convergence angle (JLCA), and mechanical ax...

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Bibliographic Details
Main Authors: Xianghong Meng, Zhi Wang, Xinlong Ma, Xiaoming Liu, Hong Ji, Jie-zhi Cheng, Pei Dong
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Musculoskeletal Disorders
Subjects:
Lower limbs
Full-length X-ray
Alignment measurement
Deep convolutional neural networks
Online Access:https://doi.org/10.1186/s12891-022-05818-4

Internet

https://doi.org/10.1186/s12891-022-05818-4

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