Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Multi-Label Multi-Class Classification Of ESRGAN Enhanced Retinal Fundus Images Of Diabetic Retinopathy

Authors
A. V. Sri Harsha1, *, B. Dilli Babu2, K. Srinath2, J. Amarnath2, A. Rithwik2, Penchala Praveen Vasili3
1Professor, Dept. of CSE (DS), Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupati, India
2UG Scholar, Department of Computer Science and Systems Engineering, Sree Vidyanikethan Engineering College, Tirupati, India
3Product Manager, Wellsfargo Inc. Charlotte, Charlotte, USA
*Corresponding author. Email: avsreeharsha@gmail.com
Corresponding Author
A. V. Sri Harsha
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_38How to use a DOI?
Keywords
Image processing; Image Acquisition; ESRGAN,Neural networks; Activation Function and Pooling Layers; Diabetic Retinopathy
Abstract

Diseases of eye have the potential to cause blindness in the sufferers. There have been many kinds of diseases those exist in the eyes of human like Myopia, Diabetic Retinopathy, Hypermetropia and so on.Fundus images help doctor to see the amount of eye infected due to diabetes and indicate the suitable prescription whether an immediate action is required or nothing to worry.The research is carried to identify what stage is the diabetes infection of the eye, based on the stage of danger the patient can be informed the further proceedings in the treatment. It helps the doctor to easily identify the disease stage of the patient and proceed with the treatment process.This classification model is implemented on ESRGAN enhanced retinal fundus images which makes the process simple by increasing the quality of DR images. It can be further used to classify the kinds of diseases in the human eye and also the stages of DR.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
978-94-6463-471-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_38How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. V. Sri Harsha
AU  - B. Dilli Babu
AU  - K. Srinath
AU  - J. Amarnath
AU  - A. Rithwik
AU  - Penchala Praveen Vasili
PY  - 2024
DA  - 2024/07/30
TI  - Multi-Label Multi-Class Classification Of ESRGAN Enhanced Retinal Fundus Images Of Diabetic Retinopathy
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 381
EP  - 391
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_38
DO  - 10.2991/978-94-6463-471-6_38
ID  - Harsha2024
ER  -