[HTML][HTML] A review of the methods on cobb angle measurements for spinal curvature

C Jin, S Wang, G Yang, E Li, Z Liang - Sensors, 2022 - mdpi.com
Scoliosis is a common disease of the spine and requires regular monitoring due to its
progressive properties. A preferred indicator to assess scoliosis is by the Cobb angle, which …

Cobb angle measurement of spine from x‐ray images using convolutional neural network

MH Horng, CP Kuok, MJ Fu, CJ Lin… - … methods in medicine, 2019 - Wiley Online Library
Scoliosis is a common spinal condition where the spine curves to the side and thus deforms
the spine. Curvature estimation provides a powerful index to evaluate the deformation …

[HTML][HTML] Automated Cobb angle measurement for adolescent idiopathic scoliosis using convolutional neural network

W Caesarendra, W Rahmaniar, J Mathew, A Thien - Diagnostics, 2022 - mdpi.com
The Cobb angle measurement of the scoliotic spine is prone to inter-and intra-observer
variations in the clinical setting. This paper proposes a deep learning architecture for …

An automated estimator for Cobb angle measurement using multi-task networks

X Fu, G Yang, K Zhang, N Xu, J Wu - Neural Computing and Applications, 2021 - Springer
Scoliosis is a medical condition where a person's spine has a sideways curve. The Cobb
angle quantifying the degree of spinal curvature is the gold standard for a scoliosis …

An automated and accurate spine curve analysis system

B Chen, Q Xu, L Wang, S Leung, J Chung, S Li - Ieee Access, 2019 - ieeexplore.ieee.org
We present a new Adaptive Error Correction Net (AEC-Net) to formulate the estimation of
Cobb anges from spinal X-rays as a high-precision regression task. Our AEC-Net introduces …

[HTML][HTML] Comparison of manual versus automated measurement of Cobb angle in idiopathic scoliosis based on a deep learning keypoint detection technology

Y Sun, Y Xing, Z Zhao, X Meng, G Xu, Y Hai - European Spine Journal, 2022 - Springer
Purpose The present study compared manual and automated measurement of Cobb angle
in idiopathic scoliosis based on deep learning keypoint detection technology. Methods A …

MPF-net: An effective framework for automated cobb angle estimation

K Zhang, N Xu, C Guo, J Wu - Medical Image Analysis, 2022 - Elsevier
In clinical practice, the Cobb angle is the gold standard for idiopathic scoliosis assessment,
which can provide an important reference for clinicians to make surgical plan and give …

Automatic cobb angle detection using vertebra detector and vertebra corners regression

B Khanal, L Dahal, P Adhikari, B Khanal - Computational Methods and …, 2020 - Springer
Correct evaluation and treatment of Scoliosis require accurate estimation of spinal curvature.
Current gold standard is to manually estimate Cobb Angles in spinal X-ray images which is …

Computer‐aided cobb measurement based on automatic detection of vertebral slopes using deep neural network

J Zhang, H Li, L Lv, Y Zhang - International journal of …, 2017 - Wiley Online Library
Objective. To develop a computer‐aided method that reduces the variability of Cobb angle
measurement for scoliosis assessment. Methods. A deep neural network (DNN) was trained …

The measurement of Cobb angle based on spine X-ray images using multi-scale convolutional neural network

J Liu, C Yuan, X Sun, L Sun, H Dong… - Physical and Engineering …, 2021 - Springer
Adolescent idiopathic scoliosis (AIS) is a structural spinal deformity mainly in the coronal
plane and is among the most frequent deformities in children, adolescents, and young …