A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY

Çınarer, Gökalp; KILIÇ, KAZIM; Parlar, Tuba

A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY

Gökalp ÇINARER, (Bozok Üniversitesi, Bilgisayar Mühendisliği Bölümü, Yozgat, Türkiye)

Kazım KILIÇ, (Bozok Üniversitesi, Bilgisayar Teknolojileri Bölümü, Yozgat, Türkiye)

Tuba PARLAR (Mustafa Kemal Üniversitesi, Bilgisayar Teknolojileri Bölümü, Hatay, Türkiye)

Journal of scientific reports-A (Online)

2 0

Yıl: 2022 Cilt: Sayı: 051 Sayfa Aralığı: 106 - 119 Metin Dili: İngilizce İndeks Tarihi: 13-01-2023

A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY

Öz:

Diabetes is a highly prevalent and increasingly common health disorder, resulting in health complications such as vision loss. Diabetic retinopathy (DR) is the most common form of diabetes-caused eye disease. Early diagnosis and treatment are crucial to prevent vision loss. DR is a progressive disease composed of five stages. The accurate diagnosis of DR stages is highly important in guiding the treatment process. In this study, we propose a deep transfer learning framework for automatic detection of DR stages. We examine our proposed model by comparing different convolutional neural networks architectures: VGGNet19, DenseNet201, and ResNet152. Our results demonstrate better accuracy after applying transfer learning and hyper-parameter tuning to classify the fundus images. When the general test accuracy and the performance evaluations are compared, the DenseNet201 model is observed with the highest test accuracy of 82.7%. Among the classification algorithms, the highest AUC value is 94.1% obtained with RestNet152.

Anahtar Kelime: Convolutional neural networks CNNs Deep learning Diabetic retinopathy Transfer learning

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	Çınarer G, KILIÇ K, Parlar T (2022). A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. , 106 - 119.
Chicago	Çınarer Gökalp,KILIÇ KAZIM,Parlar Tuba A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. (2022): 106 - 119.
MLA	Çınarer Gökalp,KILIÇ KAZIM,Parlar Tuba A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. , 2022, ss.106 - 119.
AMA	Çınarer G,KILIÇ K,Parlar T A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. . 2022; 106 - 119.
Vancouver	Çınarer G,KILIÇ K,Parlar T A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. . 2022; 106 - 119.
IEEE	Çınarer G,KILIÇ K,Parlar T "A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY." , ss.106 - 119, 2022.
ISNAD	Çınarer, Gökalp vd. "A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY". (2022), 106-119.

APA	Çınarer G, KILIÇ K, Parlar T (2022). A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. Journal of scientific reports-A (Online), (051), 106 - 119.
Chicago	Çınarer Gökalp,KILIÇ KAZIM,Parlar Tuba A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. Journal of scientific reports-A (Online) , no.051 (2022): 106 - 119.
MLA	Çınarer Gökalp,KILIÇ KAZIM,Parlar Tuba A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. Journal of scientific reports-A (Online), vol., no.051, 2022, ss.106 - 119.
AMA	Çınarer G,KILIÇ K,Parlar T A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. Journal of scientific reports-A (Online). 2022; (051): 106 - 119.
Vancouver	Çınarer G,KILIÇ K,Parlar T A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY. Journal of scientific reports-A (Online). 2022; (051): 106 - 119.
IEEE	Çınarer G,KILIÇ K,Parlar T "A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY." Journal of scientific reports-A (Online), , ss.106 - 119, 2022.
ISNAD	Çınarer, Gökalp vd. "A DEEP TRANSFER LEARNING FRAMEWORK for the STAGING of DIABETIC RETINOPATHY". Journal of scientific reports-A (Online) 051 (2022), 106-119.