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

Background context: Scoliosis is a three-dimensional deformity of the spine with the most
prevalent type being adolescent idiopathic scoliosis (AIS). The rotational spinal deformation …

Scoliosis is a disease estimated to affect more than 8% of adults in the United States. It is
diagnosed with use of radiography by means of manual measurement of the angle between …

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 …

An accurate identification and localization of vertebrae in X-ray images can assist doctors in
measuring Cobb angles for treating patients with adolescent idiopathic scoliosis. It is useful …

Objective Conventional computer-aided diagnosis using convolutional neural networks
(CNN) has limitations in detecting sensitive changes and determining accurate decision …

This article will provide a perspective review of the most extensively investigated deep
learning (DL) applications for musculoskeletal disease detection that have the best potential …

Abstract Purpose The Lenke classification system is widely utilized as the preoperative
evaluation protocol for adolescent idiopathic scoliosis (AIS). However, manual measurement …

Scoliosis is a disease caused by the spine curving. It is treatable but physiotherapists may
do different measurements for curvature angles. That'sa problem affecting the treatment …

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 …