Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole

Belinay Kabataş; Emre Ölmez

Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole

Abstract

In this study, a deep learning-based decision support system was developed to classify diabetic retinopathy (DR), macular hole (MH) and healthy samples using fundus images. A total of 1,397 fundus images selected from the open source Retinal Disease Classification dataset were used in the training and testing phases. ResNet50, InceptionV3 and Xception models were trained with different hyperparameter configurations and their performances were comparatively evaluated. As a result of the analysis, the ResNet50 model showed the highest success on the test set with an accuracy of 93.79%. However, the Xception model stood out with its consistent performance against different hyperparameter combinations and provided the most balanced results in terms of average accuracy. The results show that deep learning-based methods can be effectively used as a clinical decision support system for retinal disease diagnosis.

Keywords

References

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Details

Primary Language

English

Subjects

Deep Learning

Journal Section

Research Article

Authors

Belinay Kabataş This is me
0009-0001-1329-199X
Türkiye

Emre Ölmez ^*
0000-0003-1686-0251
Türkiye

Publication Date

May 1, 2025

Submission Date

April 13, 2025

Acceptance Date

April 25, 2025

Published in Issue

Year 2025 Volume: 5 Number: 1

IZ

https://izlik.org/JA29HR34PZ

Cite

RIS / Bibtex

APA

Kabataş, B., & Ölmez, E. (2025). Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole. Artificial Intelligence Theory and Applications, 5(1), 51-62. https://izlik.org/JA29HR34PZ

AMA

1.Kabataş B, Ölmez E. Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole. AITA. 2025;5(1):51-62. https://izlik.org/JA29HR34PZ

Chicago

Kabataş, Belinay, and Emre Ölmez. 2025. “Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole”. Artificial Intelligence Theory and Applications 5 (1): 51-62. https://izlik.org/JA29HR34PZ.

EndNote

Kabataş B, Ölmez E (May 1, 2025) Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole. Artificial Intelligence Theory and Applications 5 1 51–62.

IEEE

[1]B. Kabataş and E. Ölmez, “Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole”, AITA, vol. 5, no. 1, pp. 51–62, May 2025, [Online]. Available: https://izlik.org/JA29HR34PZ

ISNAD

Kabataş, Belinay - Ölmez, Emre. “Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole”. Artificial Intelligence Theory and Applications 5/1 (May 1, 2025): 51-62. https://izlik.org/JA29HR34PZ.

JAMA

1.Kabataş B, Ölmez E. Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole. AITA. 2025;5:51–62.

MLA

Kabataş, Belinay, and Emre Ölmez. “Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole”. Artificial Intelligence Theory and Applications, vol. 5, no. 1, May 2025, pp. 51-62, https://izlik.org/JA29HR34PZ.

Vancouver

1.Belinay Kabataş, Emre Ölmez. Deep Learning Based Decision Support System for Retinal Disease Classification: Diabetic Retinopathy and Macular Hole. AITA [Internet]. 2025 May 1;5(1):51-62. Available from: https://izlik.org/JA29HR34PZ