Revolutionizing Medical Imaging through Deep Learning Techniques:An Overview.
Elgayar, S., Hamad, S., El-Horbaty, E. (2023). Revolutionizing Medical Imaging through Deep Learning Techniques:An Overview.. EKB Journal Management System, 23(3), 59-72. doi: 10.21608/ijicis.2023.211266.1274
Salma M Elgayar; Safwat Hamad; El-Sayed M. El-Horbaty. "Revolutionizing Medical Imaging through Deep Learning Techniques:An Overview.". EKB Journal Management System, 23, 3, 2023, 59-72. doi: 10.21608/ijicis.2023.211266.1274
Elgayar, S., Hamad, S., El-Horbaty, E. (2023). 'Revolutionizing Medical Imaging through Deep Learning Techniques:An Overview.', EKB Journal Management System, 23(3), pp. 59-72. doi: 10.21608/ijicis.2023.211266.1274
Elgayar, S., Hamad, S., El-Horbaty, E. Revolutionizing Medical Imaging through Deep Learning Techniques:An Overview.. EKB Journal Management System, 2023; 23(3): 59-72. doi: 10.21608/ijicis.2023.211266.1274

Revolutionizing Medical Imaging through Deep Learning Techniques:An Overview.

International Journal of Intelligent Computing and Information Sciences
Volume 23, Issue 3, September 2023, Page 59-72  XML PDF (645.23 K)
Document Type: Original Article
DOI: 10.21608/ijicis.2023.211266.1274
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Authors
Salma M Elgayar email orcid 1; Safwat Hamad2; El-Sayed M. El-Horbaty3
1Computer Science, Faculty of Computer and Information Sciences, Ain shams university, Cairo, Egypt.
2Business Analytics Department School of Economic and Business Administration (SEBA), Saint Mary’s College of California, Moraga CA-USA
3Scientific Computing, Faculty of Computer and Information Sciences, Ain shams university, Cairo, Egypt.
Abstract
Medical imaging is a crucial tool for various clinical applications, including examination of medical issues, including early identification, monitoring, diagnosis, and therapy. To analyse medical images using computer vision, it is crucial to comprehend the ideas behind artificial neural networks and deep learning. In this particular article, we present recent principles of deep learning models and the different forms of widely used activation functions. Utilising Deep Learning Approach (DLA) has expanded quickly in the study of medical images, particularly in detecting either being present or not diseases. This study explores artificial neural networks development and provides a comprehensive analysis of DLA and potential uses for medical imaging. The majority of DLA implementations focus on pictures from digital histopathology, computer tomography, mammography, and X-rays.
A thorough overview of the literature on the classification, detection, and segmentation of medical pictures using DLA is provided in the paper, which might help researchers decide what changes should be made to medical image analysis.
Keywords
Keywords:Convolutional neural network; Medical imagery; Deep learning; Classification Segmentation; and Detection
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