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 …

Purpose Adolescent idiopathic scoliosis (AIS) is a common pediatric spinal deformity
frequently treated with patient scoliosis-specific exercises (PSSE). The purpose of this study …

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

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 …

Scoliosis is a condition of abnormal lateral spinal curvature affecting an estimated 2 to 3% of
the US population, or seven million people. The Cobb angle is the standard measurement of …

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 …

Recognizing the emotional states of humans through EEG signals are of great significance
to the progress of human-computer interaction. The present study aimed to perform …

Background Assessment of spine alignment is crucial in the management of scoliosis, but
current auto-analysis of spine alignment suffers from low accuracy. We aim to develop and …

Spinal cord is the one of the most important organs in the central nervous system (CNS). It
acts as the main processing hub which serves as the main passage line for information …

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 …