Classification of Diabetic Retinopathy using Pre-Trained Deep Learning Models

arXiv:2403.19905v1 Announce Type: new
Abstract: Diabetic Retinopathy (DR) stands as the leading cause of blindness globally, particularly affecting individuals between the ages of 20 and 70. This paper presents a Computer-Aided Diagnosis (CAD) system designed for the automatic classification of retinal images into five distinct classes: Normal, Mild, Moderate, Severe, and Proliferative Diabetic Retinopathy (PDR). The proposed system leverages Convolutional Neural Networks (CNNs) employing pre-trained deep learning models. Through the application of fine-tuning techniques, our model is trained on fundus …

abstract arxiv blindness cad classification computer cs.ai cs.cv deep learning diagnosis five images normal paper type