Using a Deep Learning System That Classifies Hypertensive Retinopathy Based on the Fundus Images of Patients of Wide Age

ŞÜYUN, SÜLEYMAN BURÇİN; TAŞDEMİR, ŞAKİR; Biliş, Serkan; Milea, Alexandru

doi:10.18280/TS.380122

Using a Deep Learning System That Classifies Hypertensive Retinopathy Based on the Fundus Images of Patients of Wide Age

Yazarlar (4)

Öğr. Gör. Süleyman Burçin ŞÜYUN Sinop Üniversitesi, Türkiye

Prof. Dr. Şakir TAŞDEMİR Selçuk Üniversitesi, Türkiye

Serkan Biliş
Selçuk Üniversitesi, Türkiye

Alexandru Milea
Selçuk Üniversitesi, Türkiye

Makale Türü	Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı	Traitement Du Signal (Q3)
Dergi ISSN	0765-0019 Dergi Bilgileri (2021)
Dergi Tarandığı Indeksler	SCI-Expanded
Makale Dili	Türkçe	Basım Tarihi	01-2021
Kabul Tarihi	02-02-2021	Yayınlanma Tarihi	28-02-2021
Cilt / Sayı / Sayfa	38 / 1 / 207–213	DOI	10.18280/TS.380122
Makale Linki	http://dx.doi.org/10.18280/ts.380122
UAK Araştırma Alanları	Yapay Zeka Gömülü Sistemler Görüntü İşleme

Özet

Range throughout Turkey in this paper, the author trained the continuous neural networks, and used a total of 4,000 fundus images, including images with different degrees of fundus disorders and images without disorders, so that CNN can detect whether the patient has hypertension and arteriosclerosis according to macular degeneration in the fundus images. In order to obtain more effective results from the deep learning structure using convolutional neural network, this paper prepared more data sets on the basis of Turkey, combined with the local data sets to educate the deep learning model, so as to integrate the data globally, which can help standardize the results and improve the accuracy. The system is used to diagnose retinal vascular degeneration, such as fundus vascular disease and macular edema disease. Based on this basic understanding, the research has been used for the detection and classification of hypertensive retinopathy that has similar causes. The author also points out the limitations of the system. Among them, the most important limitation is the need for long-term financial sustainability.

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Atıf Sayıları
Web of Science	2
Scopus	8
Google Scholar	8

Using a Deep Learning System That Classifies Hypertensive Retinopathy Based on the Fundus Images of Patients of Wide Age

Dergi Adı	Traitement du Signal
Kısa Adı	TRAIT SIGNAL
Yayıncı	INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
Açık Erişim	Hayır
ISSN	0765-0019
E-ISSN	1958-5608
Wos Quartile	Q3
Scopus Quartile	Q3
Tarandığı Indeksler	SCIE , Scopus
WoS Kategoriler	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE \| ENGINEERING, ELECTRICAL & ELECTRONIC
Scopus Kategoriler	ELECTRICAL AND ELECTRONIC ENGINEERING

Using a Deep Learning System That Classifies Hypertensive Retinopathy Based on the Fundus Images of Patients of Wide Age

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