The automatic localization of the lumbar region is essential for the diagnosis of lumbar
diseases, the study of lumbar morphology, and the surgical planning. Although the existing …

To eliminate unnecessary background information, such as soft tissues in original CT
images and the adverse impact of the similarity of adjacent spines on lumbar image …

Accurate lumbar spine measurement in CT images provides an essential way for
quantitative spinal diseases analysis such as spondylolisthesis and scoliosis. In today's …

Chronic Lower Back Pain (CLBP) is one of the major types of pain that is affecting many
people around the world. Lumbar Spine Stenosis (LSS), a major cause of CLBP, requires …

Most of spinal diseases are diagnosed based on the subjective judgment of a specialist, so
numerous studies have been conducted to find objectivity by automating the diagnosis …

With the prevalence of degenerative diseases due to the increase in the aging population,
we have encountered many spine-related disorders. Since the spine is a crucial part of the …

Accurate vertebral detection in X-ray images is a challenging task mainly due to low contrast
and noisy set of image data. For the diagnosis of spinal disorders such as cervical spine …

In recent years, fast and precise lumbar vertebrae segmentation technology have been one
of the important topics in practical medical diagnosis and assisted medical surgery …

Aiming at the difficulties of lumbar vertebrae segmentation in computed tomography (CT)
images, we propose an automatic lumbar vertebrae segmentation method based on deep …

In this work we propose to use Deep Learning to automatically calculate the coordinates of
the vertebral corners in sagittal x-rays images of the thoracolumbar spine and, from those …