Image Processing and Analysis in Health: Advantages, Challenges, Threats and Examples;

dc.authorscopusid 57224970706
dc.authorscopusid 57475076600
dc.authorscopusid 57475476000
dc.contributor.author Ince,O.
dc.contributor.author Senel,I.K.
dc.contributor.author Yilmaz,F.
dc.date.accessioned 2024-05-25T12:33:10Z
dc.date.available 2024-05-25T12:33:10Z
dc.date.issued 2020
dc.department Okan University en_US
dc.department-temp Ince O., Okan Universitesi, Saglik Hizmetleri Meslek Yuksekokulu, Saglik Kurumlari Isletmeciligi Programi, Istanbul, Turkey; Senel I.K., Istanbul Universitesi-Cerrahpasa Saglik Bilimleri Fakultesi, Saglik Yonetimi Bolumu, Istanbul, Turkey; Yilmaz F., Istanbul Universitesi-Cerrahpasa Saglik Bilimleri Fakultesi, Saglik Yonetimi Bolumu, Istanbul, Turkey en_US
dc.description.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. en_US
dc.identifier.citationcount 1
dc.identifier.doi 10.5152/ArcHealthSciRes.2020.535808
dc.identifier.endpage 74 en_US
dc.identifier.issn 2687-4644
dc.identifier.issue 1 en_US
dc.identifier.scopus 2-s2.0-85129602236
dc.identifier.scopusquality Q4
dc.identifier.startpage 66 en_US
dc.identifier.trdizinid 382106
dc.identifier.uri https://doi.org/10.5152/ArcHealthSciRes.2020.535808
dc.identifier.uri https://hdl.handle.net/20.500.14517/2454
dc.identifier.volume 7 en_US
dc.language.iso tr
dc.publisher AVES en_US
dc.relation.ispartof Archives of Health Science and Research en_US
dc.relation.publicationcategory Diğer en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 1
dc.subject Artificial intelligence en_US
dc.subject deep learning en_US
dc.subject healthcare services en_US
dc.subject image processing en_US
dc.subject machine learning en_US
dc.title Image Processing and Analysis in Health: Advantages, Challenges, Threats and Examples; en_US
dc.title.alternative Saglikta Goruntu Isleme ve Analizi Avantajlar, Zorluklar, Tehditler ve Ornekler en_US
dc.type Review en_US

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