Department of Sciences, School of Business, Macau University of Science and Technology, Macao 999078, China
Mini Review
Multi-angle View of the Intervertebral Disc in Deep Learning-based Intelligent Diagnosis of Lumbar Diseases
Author(s): Kaisi Wang*
Lumbar diseases, including herniated discs, degenerative disc disease, and spinal stenosis, are prevalent conditions that cause significant
morbidity worldwide. Accurate diagnosis of these conditions is critical for effective treatment planning and patient outcomes. Traditional imaging
techniques, such as magnetic resonance imaging and computed tomography, are essential diagnostic tools but rely heavily on the expertise of
radiologists. The integration of deep learning into medical imaging has the potential to revolutionize the diagnosis of lumbar diseases, providing
enhanced accuracy and efficiency. This article explores the application of deep learning in the multi-angle analysis of intervertebral discs for the
intelligent diagnosis of lumbar diseases... Read More»
DOI:
10.37421/2165-7939.2024.13.662
Journal of Spine received 2022 citations as per Google Scholar report