Background: Nutrition informatics has become a novel approach for registered dietitians to
practice in this field and make a profit for health care. Recommendation systems considered …

Efficient and reliable medical image analysis is indispensable in modern healthcare
settings. The conventional approaches in diagnostics and evaluations from a mere picture …

Purpose To propose a fully automated deep learning (DL) framework for the vertebral
morphometry and Cobb angle measurement from three-dimensional (3D) computed …

Introduction Risks and benefits of spinal manipulations and mobilization in pediatric
populations are a concern to the public, policymakers, and international physiotherapy …

Traditional manual measurement of Cobb angle is a time-consuming process and leads to
different results. To address this issue, this paper proposes a deep learning-based method …

The detection of the spine is crucial in automating the measurement of the Cobb Angle.
While various segmentation models have been employed for vertebrae segmentation in X …

This study proposes a convolutional neural network method for automatic vertebrae
detection and Cobb angle (CA) measurement on X-ray images for scoliosis. 1021 full-length …

Background: Scoliosis is a complex musculoskeletal torsional deformity of spine that
includes: Lateral curvature in the anterior-posterior plane with a Cobb angle greater than 10 …

Scoliosis is a medical condition in which there is a deformity and bending of the spine. Early
detection and corrective measures can prevent severe cases, mainly in early childhood. The …

Purpose Adolescent scoliosis is one of the common pediatric spinal diseases which has a
high risk of progression due to the rapid growth of the skeleton during the growing stage …