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 …

VLTENet: a deep-learning-based vertebra localization and tilt estimation network for automatic Cobb angle estimation

L Zou, L Guo, R Zhang, L Ni, Z Chen… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Scoliosis diagnosis and assessment rely upon Cobb angle estimation from X-ray images of
the spine. Recently, automated scoliosis assessment has been greatly improved using deep …

Mma-net: Multiple morphology-aware network for automated cobb angle measurement

Z Qiu, J Yang, J Wang - arXiv preprint arXiv:2309.13817, 2023 - arxiv.org
Scoliosis diagnosis and assessment depend largely on the measurement of the Cobb angle
in spine X-ray images. With the emergence of deep learning techniques that employ …

An automated cobb angle estimation method using convolutional neural network with area limitation

K Zhang, N Xu, G Yang, J Wu, X Fu - International Conference on Medical …, 2019 - Springer
Cobb angle measurement is the gold standard for the idiopathic scoliosis assessment, and
the measurement result is very important for the surgical planning and medical curing …

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 measurement method based on vertebra segmentation by deep learning

Y Zhao, J Zhang, H Li, X Gu, Z Li, S Zhang - Medical & Biological …, 2022 - Springer
The accuracy of the Cobb measurement is essential for the diagnosis and treatment of
scoliosis. Manual measurement is however influenced by the observer variability hence …

Automated spinal curvature assessment from X-ray images using landmarks estimation network via rotation proposals

R Tao, S Xu, H Wu, C Zhang, C Lv - Computational Methods and Clinical …, 2020 - Springer
Adolescent idiopathic scoliosis (AIS) is one of the most common type of scoliosis. In current
clinical settings, the severity of scoliosis is assessed by evaluating the contralateral blending …

W‐transformer: accurate cobb angles estimation by using a transformer‐based hybrid structure

Y Yao, W Yu, Y Gao, J Dong, Q Xiao, B Huang… - Medical …, 2022 - Wiley Online Library
Background Scoliosis is a type of spinal deformity, which is harmful to a person's health. In
severe cases, it can trigger paralysis or death. The measurement of Cobb angle plays an …

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 …

Accurate Cobb angle estimation on scoliosis X-ray images via deeply-coupled two-stage network with differentiable cropping and random perturbation

Y Liang, J Lv, D Li, X Yang, Z Wang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Automated Cobb angle estimation on X-ray images is crucial to scoliosis diagnosis. The
existing efforts are typically two extremes, which either laboriously detect the raw vertebral …