Analysis Review of Deep Learning for Lumbar Spine Image based on Computed Tomography and Magnetic Resonance Imaging

Abstract

Recently, deep learning algorithms have become one of the most popular methods and forms of algorithms used in the medical imaging analysis process. Deep learning tools provide accuracy and speed in the process of diagnosing and classifying lumbar spine problems. Deep learning tools deal with many types of medical images, including computed tomography (CT), X-rays, and magnetic resonance imaging (MRI). MRI is the most common method for diagnosing diseases of the lumbar spine. This paper aims to provide a general overview of how deep learning can be used to analyze lumbar spine images. It focuses on papers, results, and methods used by researchers in recent years. The presented works indicate that deep learning can be highly relied upon in the process of analyzing medical images of the lumbar spine and identifying the correct diagnosis