The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …

Recent years have witnessed wider prevalence of vertebral column pathologies due to
lifestyle changes, sedentary behaviors, or injuries. Spondylolisthesis and scoliosis are two of …

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

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 …

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 …

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 …

Scoliosis is a complicated spinal deformity, and millions of people are suffering from this
disease worldwide. Early detection and accurate scoliosis assessment are vital for effective …

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

BACKGROUND Accurately measuring the Cobb angle on radiographs is crucial for
diagnosis and treatment decisions for adolescent idiopathic scoliosis (AIS). However …