A Comparative Systematic Literature Review on Knee Bone Reports from MRI, X-rays and CT Scans Using Deep Learning and Machine Learning Methodologies.

Sultan H. Almotiri,Tayyaba Khalid,Muhammad Adnan Khan,Muhammad Shoaib Farooq,Khalid Masood,Muzammil Hussain,Kalsoom Fatima,Khadija Khalid,Aqsa Ahmed,Mohammed A. Al Ghamdi,Hafsa Khalid

doi:10.3390/diagnostics10080518

Abstract

The purpose of this research was to provide a “systematic literature review” of knee bone reports that are obtained by MRI, CT scans, and X-rays by using deep learning and machine learning techniques by comparing different approaches—to perform a comprehensive study on the deep learning and machine learning methodologies to diagnose knee bone diseases by detecting symptoms from X-ray, CT scan, and MRI images. This study will help those researchers who want to conduct research in the knee bone field. A comparative systematic literature review was conducted for the accomplishment of our work. A total of 32 papers were reviewed in this research. Six papers consist of X-rays of knee bone with deep learning methodologies, five papers cover the MRI of knee bone using deep learning approaches, and another five papers cover CT scans of knee bone with deep learning techniques. Another 16 papers cover the machine learning techniques for evaluating CT scans, X-rays, and MRIs of knee bone. This research compares the deep learning methodologies for CT scan, MRI, and X-ray reports on knee bone, comparing the accuracy of each technique, which can be used for future development. In the future, this research will be enhanced by comparing X-ray, CT-scan, and MRI reports of knee bone with information retrieval and big data techniques. The results show that deep learning techniques are best for X-ray, MRI, and CT scan images of the knee bone to diagnose diseases.

Highlights

IntroductionThis section gives a brief introduction to our study to elaborate on the all-important aspects related to the knee bone, knee bone diseases, and screening techniques, i.e., Magnetic Resonance Imaging (MRI), Computed Tomography (CT) scans, and X-rays
This section gives a brief introduction to our study to elaborate on the all-important aspects related to the knee bone, knee bone diseases, and screening techniques, i.e., Magnetic Resonance Imaging (MRI), Computed Tomography (CT) scans, and X-rays.This section explains the importance of deep learning and machine learning techniques for medical image processing
That is why we firstly focus on our main domain of knee bone images with deep learning and machine learning techniques and focus on the image type, i.e., MRI, CT scan, or X-ray

Summary

Introduction

This section gives a brief introduction to our study to elaborate on the all-important aspects related to the knee bone, knee bone diseases, and screening techniques, i.e., MRI, CT scans, and X-rays. This section explains the importance of deep learning and machine learning techniques for medical image processing. This section explains the importance of deep learning and machine learning techniques for Diagnostics 2020, 10, 518 medical image processing. The following subsections constitute an overview of our research

Objectives

Methods

Findings

Discussion

Conclusion