Efficient Local Cloud-Based Solution for Diabetic Retinopathy Detection

Dayananda Pruthviraja, Anil B. C. and Sowmyarani C. N.
Additional contact information
Dayananda Pruthviraja: JSS Academy of Technical Education, Bengaluru, India
Anil B. C.: JSS Academy of Technical Education, Bengaluru, India
Sowmyarani C. N.: RV College of Engineering, Bengaluru, India

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2021, vol. 16, issue 3, 39-46

Abstract: Damage of blood vessels in retina due to diabetes is known as diabetic retinopathy. It is one of the one of the important origins of blindness for adults. Loss of vision can be avoided by detecting damage of retina (leaking fluid or blood). Efficient local cloud-based solution for diabetic retinopathy detection is designed in the work, where convolution neural network is used for training and classification module and achieved an accuracy of 86% using kappa metric. Fundus images are used for training and classification. System network architecture is derived from VGGNet. Network is trained using 80,000 images. Since everything is automated, a doctor is only required for treatment, not for diagnosis.

Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... /IJWLTT.20210501.oa3 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jwltt0:v:16:y:2021:i:3:p:39-46

Access Statistics for this article

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) is currently edited by Mahesh S. Raisinghani

More articles in International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().