Pre-Trained Convolutional Neural Network for Automated Grading of Diabetic Retinopathy
Author:
Affiliation:
1. Rajiv Gandhi Institute of Technology (APJ Abdul Kalam Technological University Thiruvananthapuram),Dept. of EEE
2. Little Flower Hospital,Dept. of Retina,Ernakulam,Kerala,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9768398/9768400/09768480.pdf?arnumber=9768480
Reference21 articles.
1. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
2. the DIARETDB1 diabetic retinopathy database and evaluation protocol
3. Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs
4. Automatic detection of microaneurysms in color fundus images
5. Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks
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1. A New Technique using Deep Learning to Segment Retinal Blood Vessels;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11
2. Smartphone Fundus Photography Enhancement for Retinopathy of Prematurity Disease Diagnosis Using Deep Learning;2023 6th International Conference of Computer and Informatics Engineering (IC2IE);2023-09-14
3. A Survey on Deep-Learning-Based Diabetic Retinopathy Classification;Diagnostics;2023-01-18
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