Diabetic retinopathy severity grading employing quadrant‐based Inception‐V3 convolution neural network architecture-Reference-Cited by-同舟云学术

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Diabetic retinopathy severity grading employing quadrant‐based Inception‐V3 convolution neural network architecture

Published:2020-10-21 Issue:2 Volume:31 Page:592-608
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Bhardwaj Charu¹^ORCID,Jain Shruti¹,Sood Meenakshi²

Affiliation:

1. Department of Electronics and Communication Engineering, Jaypee University of Information Technology Waknaghat Solan India

2. Department of Curriculum Development Centre, National Institute of Technical Teachers Training and Research Chandigarh 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.22510

Reference46 articles.

1. Retinopathy in diabetes;Fong DS;Diabetes Care,2004

2. A Sorting System for Hierarchical Grading of Diabetic Fundus Images: A Preliminary Study

3. A machine learning ensemble classifier for early prediction of diabetic retinopathy;SK S;J Med Syst,2017

4. Detecting retinal microaneurysms and hemorrhages with robustness to the presence of blood vessels

5. SeoudL ChelbiJ CherietF. Automatic grading of diabetic retinopathy on a public database. Proceedings of the Ophthalmic Medical Image Analysis International Workshop. OMIA 2015 held in conjunction with MICCAI 2015; Munich Germany. pp.97‐104.https://doi.org/10.17077/omia.1032.

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