Machine Learning and Deep Learning Approaches for Automated Diabetic Retinopathy Diagnosis-Reference-Cited by-同舟云学术

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Machine Learning and Deep Learning Approaches for Automated Diabetic Retinopathy Diagnosis

Published:2024-05-03 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Intelligent Systems for Cybersecurity (ISCS)
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Author:

Fulkar Bhushan¹,Burle Rushikesh²,Patil Pawan¹,Gaurkhade Sanskruti³,Gundewar Swapnil⁴,Pacharaney Utkarsha¹

Affiliation:

1. Datta Meghe Institute of Higher Education and Research,Department of Artificial Intelligence and Data science,Wardha,India

2. Datta Meghe Institute of Higher Education and Research(DU),Department of Artificial Intelligence and Machine Learning,Wardha,Maharashtra

3. Datta Meghe Institute of Higher Education and Research,Department of Computer Science and Design,Wardha,India

4. Datta Meghe Institute of Higher Education and Research,Department of Artificial Intelligence and Machine Learning,Wardha,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579950/10580998/10581336.pdf?arnumber=10581336

Reference20 articles.

1. Automated Identification of Diabetic Retinopathy Using Deep Learning

2. Deep Learning Approach to Diabetic Retinopathy Detection

3. Development of a deep learning algorithm for automatic diagnosis of diabetic retinopathy;Raju,2017

4. Deep-learning-based automatic computer-aided diagnosis system for diabetic retinopathy

5. Automatic Detection of Diabetic Retinopathy in Retinal Fundus Photographs Based on Deep Learning Algorithm

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