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Quantitative analysis of Fundus Image Enhancement in the Detection of Diabetic Retinopathy Using Deep Convolutional Neural Network
- Source :
- IETE Journal of Research. :1-11
- Publication Year :
- 2021
- Publisher :
- Informa UK Limited, 2021.
-
Abstract
- Purpose: In this work, we propose a DnCNN-based method to enhance the contrast of images. Fundus images are widely used in clinical practice for detecting retinal dark spots. These spots trouble op...
- Subjects :
- genetic structures
business.industry
Computer science
Fundus image
media_common.quotation_subject
Retinal
Pattern recognition
Diabetic retinopathy
Fundus (eye)
medicine.disease
Convolutional neural network
Computer Science Applications
Theoretical Computer Science
Clinical Practice
chemistry.chemical_compound
chemistry
medicine
Contrast (vision)
sense organs
Artificial intelligence
Electrical and Electronic Engineering
business
media_common
Subjects
Details
- ISSN :
- 0974780X and 03772063
- Database :
- OpenAIRE
- Journal :
- IETE Journal of Research
- Accession number :
- edsair.doi...........07624572b3a523ac0915987452b8f4a3
- Full Text :
- https://doi.org/10.1080/03772063.2021.1997356