Image Processing and Analysis in Health: Advantages, Challenges, Threats and Examples;
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Date
2020
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AVES
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Abstract
With the rapid development of technology, new methods and techniques have begun to provide many services. As these developments afford convenience in many ways, they have become an indispensable part of daily life. In addition, these developments have brought a different perspective to research and development activities. The healthcare sector has also been affected due to the use of new devices and methods. In particular, the development of information systems in digitalization and advancement in imaging technologies has paved the way for more frequent use of computer-based methods in healthcare. The most important advantages of these techniques are saving time and cost, creating new opportunities for diagnosis, and providing different opportunities in the treatment process. One of the methods used in healthcare services is the image processing technique, which is a method used in computer sciences. Image processing is defined as computer studies being carried out to obtain information from digital image data in a digital environment according to the targeted situation, which can be applied in many fields in healthcare services. In this research, relevant studies in the literature have been summarized to give an overview about image processing techniques, which have a wide application area from ophthalmology to radiology. For this purpose, contributions, challenges, and threats of image processing to healthcare services have been discussed and examples from the literature have been cited. Finally, some suggestions have been given after considering the studies in the literature and the technological changes that may occur in future @ Archives of Health Science and Research.All rights reserved.
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Keywords
Artificial intelligence, deep learning, healthcare services, image processing, machine learning
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Citation
1
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Q4
Source
Archives of Health Science and Research
Volume
7
Issue
1
Start Page
66
End Page
74