Diabetic Retinopathy Fundus Image Classification Using MSCSO Based Optimization with Fuzzy Support Vector Machine-Reference-Cited by-同舟云学术

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Diabetic Retinopathy Fundus Image Classification Using MSCSO Based Optimization with Fuzzy Support Vector Machine

Published:2023-07-28 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Data Science and Network Security (ICDSNS)
language:
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Author:

Murthy G N Keshava¹,Pareek Piyush Kumar²,H Rekha³,M Sandhya⁴,A Deepak H⁵

Affiliation:

1. Siddaganga Institute of Technology,Department of Electronics and Instrumentation,Tumakuru,India

2. Nitte Meenakshi Institute of Technology,Department of Artificial Intelligence and Machine Learning,Bengaluru,India

3. Shridevi Institute of Engineering and Technology,Department of Information Science and Engineering,Tumakuru,India

4. East West Institute of Technology,Department of Computer Science and Engineering,Bengaluru,India

5. Navkis College of Engineering,Department of Electronics and Communication Engineering,Hassan,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244768/10244782/10245043.pdf?arnumber=10245043

Reference21 articles.

1. MT-TransUNet: Mediating multi-task tokens in transformers for skin lesion segmentation and classification;chen;ArXiv Preprint,2021

2. Comparing Deep Feature Extraction Strategies for Diabetic Retinopathy Stage Classification from Fundus Images

3. Skin cancer diagnosis based on optimized convolutional neural network

4. A deep convolutional neural network for diabetic retinopathy detection via mining local and long‐range dependence

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