INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Efficient Classification of Diabetic Retinopathy Stages using VGG-NIN Deep Learning Architecture
Authors Name:
Neelam Shashikant Nikale
, Dr Swati Bhavsar
Unique Id:
IJSDR2404182
Published In:
Volume 9 Issue 4, April-2024
Abstract:
Diabetic retinopathy (DR) is a serious condition that damages retinal blood vessels, potentially leading to blindness. Traditional diagnosis involves manual analysis of colored fundus images by clinicians, which is error-prone and time-consuming. To mitigate these challenges, computer vision techniques have been utilized for automating DR detection. However, existing methods often struggle with computational complexity and inadequate feature extraction for precise DR stage classification. This paper introduces a novel approach for classifying DR stages with minimal learnable parameters to enhance training efficiency and model convergence. The VGG16 architecture, augmented with a spatial pyramid pooling layer (SPP) and network-in-network (NiN) structures, constitutes the VGG-NiN model, capable of effectively processing DR images across different scales due to the adaptability of the SPP layer. Moreover, the incorporation of NiN enhances the model's ability to capture nonlinear features, thereby improving classification accuracy. Experimental findings validate the efficacy of the proposed model, demonstrating superior performance in terms of accuracy and computational efficiency compared to existing techniques.
Keywords:
CNN, colored fundus images, diabetic retinopathy, deep learning
Cite Article:
"Efficient Classification of Diabetic Retinopathy Stages using VGG-NIN Deep Learning Architecture", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.1249 - 1254, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404182.pdf
Downloads:
000338172
Publication Details:
Published Paper ID: IJSDR2404182
Registration ID:210932
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 1249 - 1254
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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