Quantitative analysis of Fundus Image Enhancement in the Detection of Diabetic Retinopathy Using Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

Quantitative analysis of Fundus Image Enhancement in the Detection of Diabetic Retinopathy Using Deep Convolutional Neural Network

Published:2021-11-23 Issue: Volume: Page:1-11
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Alaguselvi R.¹,Murugan Kalpana¹

Affiliation:

1. Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, KrishnanKoil, Virudhunagar, Tamilnadu 626126, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2021.1997356

Reference28 articles.

1. A Hybrid Proposed Fundus Image Enhancement Framework for Diabetic Retinopathy

2. Fundus image quality enhancement for blood vessel detection via a neural network using CLAHE and Wiener filter

3. An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network

4. An approach for de-noising and contrast enhancement of retinal fundus image using CLAHE

5. A Study on the Funeral director's working Circumstances and Management Facilities associated Infection Disease on Funeral home

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