Mobile-Based Classification and Detection of Diabetic Retinopathy Using TinyML-Reference-Cited by-同舟云学术

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Mobile-Based Classification and Detection of Diabetic Retinopathy Using TinyML

Published:2023-11-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE North Karnataka Subsection Flagship International Conference (NKCon)
language:
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Author:

Kumar Manish¹,Mohan Kumar H P²,Sultana Husna³,J S Shweta¹

Affiliation:

1. M S Ramaiah Institute of Technology,Department of Master of Computer Applications,Bangalore,India

2. PES College of Engineering,Dept of Master of Computer Applications,Mandya,Karnataka,India

3. Government First Grade College,Department of Computer Science,Tumkur,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10392282/10395972/10396193.pdf?arnumber=10396193

Reference15 articles.

1. Detection of diabetic retinopathy using deep learning methodology

2. Disease Grading of Diabetic Retinopathy using Deep Learning Techniques

3. Performance Evaluation of Binary Classification of Diabetic Retinopathy through Deep Learning Techniques using Texture Feature

4. Reducing Overfitting in Diabetic Retinopathy Detection using Transfer Learning

5. An efficient adaptive histogram based segmentation and extraction model for the classification of severities on diabetic retinopathy

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