An effective deep learning model for grading abnormalities in retinal fundus images using variational auto‐encoders-Reference-Cited by-同舟云学术

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An effective deep learning model for grading abnormalities in retinal fundus images using variational auto‐encoders

Published:2022-07-02 Issue:1 Volume:33 Page:92-107
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Sundar Sumod¹,Sumathy Subramanian²^ORCID

Affiliation:

1. School of Computer Science & Engineering VIT Vellore Vellore India

2. School of Information Technology & Engineering VIT Vellore Vellore India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22785

Reference37 articles.

1. Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

2. Guidelines for the Management of Diabetic Macular Edema by the European Society of Retina Specialists (EURETINA)

3. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045

4. Managing Diabetic Eye Disease in Clinical Practice

5. Diabetic retinopathy: current understanding, mechanisms, and treatment strategies

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