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CLASSIFICATION OF EYE DISEASES CAUSED BY DIABETES WITH TRANSFER LEARNING TECHNIQUES
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Diabetes is the topmost reason for blindness among adults who are employed or engaged in work-related activities. Diabetic eye disease includes complications such as diabetic retinopathy, cataracts and glaucoma. It is plausible for a person to remain oblivious to the presence of severe diabetic eye disease and suffer from sudden blindness without any prior indications or symptoms. The aim of this paper is to conduct a comparative analysis between developing and training a neural network from scratch and utilizing a pre-trained model via transfer learning in regards to training time, ease of creation, accuracy, and consistency. The proposed method involved using a pre-trained model, EfficientNet, and fine-tuning its top layers on our dataset. This approach achieved a higher test set accuracy of 93% and showed a smooth validation loss curve, suggesting better generalization.
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Abdullayev, H. K. (2023). CLASSIFICATION OF EYE DISEASES CAUSED BY DIABETES WITH TRANSFER LEARNING TECHNIQUES. Academic Research in Educational Sciences, 4(3), 257–263. https://doi.org/
Abdullayev, Husanboy. “CLASSIFICATION OF EYE DISEASES CAUSED BY DIABETES WITH TRANSFER LEARNING TECHNIQUES.” Academic Research in Educational Sciences, vol. 3, no. 4, 2023, pp. 257–263, https://doi.org/.
Abdullayev, K. 2023. CLASSIFICATION OF EYE DISEASES CAUSED BY DIABETES WITH TRANSFER LEARNING TECHNIQUES. Academic Research in Educational Sciences. 3(4), pp.257–263.