Localization of lumbar discs in magnetic resonance imaging (MRI) is a challenging task, due
to a vast range of shape, size, number, and appearance of discs and vertebrae. Based on a …

Axial Lumbar disc herniation recognition is a difficult task to achieve, due to many
challenges such as complex background, noise, blurry image. Lumbar discs are small joints …

Purpose In the last decades, the increasing medical interest in magnetic resonance imaging
(MRI) of the spine gave rise to a growing number of publications on computerized methods …

Lower back pain (LBP) is widely prevalent all over the world and more than 80% of the
people suffer from LBP at some point of their lives. Moreover, a shortage of radiologists is …

This paper presents a method for localizing and labeling the lumbar vertebrae and
intervertebral discs in mid-sagittal MR image slices. The approach is based on a Markov …

We propose a novel fully automatic approach to localize the lumbar intervertebral discs in
MR images with PHOG based SVM and a probabilistic graphical model. At the local level …

Automated lumbar spine segmentation is very crucial for modern diagnosis systems. In this
study, we introduce a novel machine-agnostic approach for segmenting lumbar vertebrae …

Lower back pain (LBP) is widely prevalent in people all over the world and negatively affects
the quality of life due to chronic pain and change in posture. Automatic localization of …

Lower Back pain (LBP) is a common disease. Therefore, a common cause of leg pain and
lower back is a lumbar disc herniation. Herniated lumbar disc represents a displacement of …

Purpose Disc herniation in the lumbar spine is a common condition, so an automated
method for diagnosis could be helpful in clinical applications. A computer-aided framework …