What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …

Deep learning with convolutional neural networks (CNN) is a rapidly advancing subset of
artificial intelligence that is ideally suited to solving image-based problems. There are an …

Background Assessment of lumbar spinal stenosis at MRI is repetitive and time consuming.
Deep learning (DL) could improve productivity and the consistency of reporting. Purpose To …

The 3D image segmentation is the process of partitioning a digital 3D volumes into multiple
segments. This paper presents a fully automatic method for high resolution 3D volumetric …

Deep learning (DL) models in general and convolutional neural networks (CNN) in
particular, have rapidly turned out to be methodologies of interest for applications concerned …

Background Lumbar spine MRI studies are widely used for back pain assessment.
Interpretation involves grading lumbar spinal stenosis, which is repetitive and time …

Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …

Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer
vision and image recognition creating widespread opportunities of using artificial …

Purpose To improve the performance of less experienced clinicians in the diagnosis of
benign and malignant spinal fracture on MRI, we applied the ResNet50 algorithm to develop …

Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises in children. Accurate
estimation of Cobb angles of the scoliosis is essential for clinicians to make diagnosis and …