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Title: :  Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby
PaperId: :  23195
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23195
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
NEELAM SHASHIKANT NIKALEMatoshri College of Engineering & R. C. Nashik Maharastra,India
Dr.Swati BhavsarMatoshri College of Engineering & R. C. Nashik Maharastra,India

Abstract

Computer Engineerin
CNN, colored fundus images, diabetic retinopathy, deep learning
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.

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IJARIIE NEELAM SHASHIKANT NIKALE, and Dr.Swati Bhavsar. "Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3141-3149
MLA NEELAM SHASHIKANT NIKALE, and Dr.Swati Bhavsar. "Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3141-3149.
APA NEELAM SHASHIKANT NIKALE, & Dr.Swati Bhavsar. (2024). Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3141-3149.
Chicago NEELAM SHASHIKANT NIKALE, and Dr.Swati Bhavsar. "Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3141-3149.
Oxford NEELAM SHASHIKANT NIKALE, and Dr.Swati Bhavsar. 'Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3141-3149. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Efficient_Classification_of_Diabetic_Retinopathy_Stages_BY__using_VGG_NIN_Deep_Learning_Architectureby_ijariie23195.pdf (Accessed : ).
Harvard NEELAM SHASHIKANT NIKALE, and Dr.Swati Bhavsar. (2024) 'Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3141-3149IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Efficient_Classification_of_Diabetic_Retinopathy_Stages_BY__using_VGG_NIN_Deep_Learning_Architectureby_ijariie23195.pdf (Accessed : )
IEEE NEELAM SHASHIKANT NIKALE, and Dr.Swati Bhavsar, "Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3141-3149, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/Efficient_Classification_of_Diabetic_Retinopathy_Stages_BY__using_VGG_NIN_Deep_Learning_Architectureby_ijariie23195.pdf [Accessed : ].
Turabian NEELAM SHASHIKANT NIKALE, and Dr.Swati Bhavsar. "Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver NEELAM SHASHIKANT NIKALE, and Dr.Swati Bhavsar. Efficient Classification of Diabetic Retinopathy Stages BY using VGG-NIN Deep Learning Architectureby. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 3141-3149. Available from: http://ijariie.com/AdminUploadPdf/Efficient_Classification_of_Diabetic_Retinopathy_Stages_BY__using_VGG_NIN_Deep_Learning_Architectureby_ijariie23195.pdf
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