Employing a Convolutional Neural Network to Classify Medical Images: A Case Study

Authors

  • Maad M. Mijwil Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq https://orcid.org/0000-0002-2884-2504
  • Anmar Alkhazraji Computer Engineering Department, Karabuk University, Karabuk, Turkey
  • Abdel-Hameed Al-Mistarehi School of Medicine, Johns Hopkins University Baltimore, Maryland, USA
  • Ruchi Doshi Department of Computer Science and Engineering, Universidad Azteca, Chalco, Mexico
  • Enas Sh. Mahmood Electrical Technique Engineering, Al-Mamoon University College, Baghdad, Iraq

DOI:

https://doi.org/10.24203/ajas.v10i5.7075

Keywords:

Deep learning, Machine learning, Convolutional neural network, COVID-19, Chest X-ray

Abstract

A convolutional neural network is one of the deep learning architectures that has been involved in a lot of the literature, and it's incredible at work. The convolutional neural network is distinguished in its use in computer vision and graphical analysis applications. It is characterised by the actuality of one or more hidden layers that extract features in images or videos, and there is also a layer to show the effects. In this regard, the authors decided to involve the convolutional neural network algorithm to classify a few chest X-ray images of COVID-19 patients and study the behaviour of this algorithm and the effects that will be obtained at the time of training. Finally, this study concluded that the performance and practices of this algorithm are very excellent and give satisfactory effects with a perfect training time.

Author Biography

Maad M. Mijwil, Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq

Maad M. Mijwil received B.Sc. degree in Software Engineering from Software Engineering Department at Baghdad College of Economics Sciences University, Iraq in 2008/2009 and M.Sc. degree in Wireless sensor network of computer science from University of Baghdad, Iraq in 2015. Currently he is working Assistant Lecturer at Baghdad College of Economics Sciences University.

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Published

2022-11-04

How to Cite

Mijwil, M. M., Alkhazraji, A. ., Al-Mistarehi, A.-H. ., Doshi, R., & Mahmood, E. S. . (2022). Employing a Convolutional Neural Network to Classify Medical Images: A Case Study. Asian Journal of Applied Sciences, 10(5). https://doi.org/10.24203/ajas.v10i5.7075

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