Proposed retinal abnormality detection and classification approach: Computer aided detection for diabetic retinopathy by machine learning approaches-Reference-Cited by-同舟云学术

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Proposed retinal abnormality detection and classification approach: Computer aided detection for diabetic retinopathy by machine learning approaches

Published:2016-06 Issue: Volume: Page:
ISSN:
Container-title:2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)
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Author:

Raman Valliappan,Then Patrick,Sumari Putra

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7577454/7586551/07586601.pdf?arnumber=7586601

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of Diabetic Retinopathy Using Slime Mould Optimization Based ResNet-18 Deep Learning Model;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03

2. Identifying Diabetic Retinopathy in the Human Eye: A Hybrid Approach Based on a Computer-Aided Diagnosis System Combined with Deep Learning;Tomography;2024-02-05

3. Disseminating the Risk Factors With Enhancement in Precision Medicine Using Comparative Machine Learning Models for Healthcare Data;IEEE Access;2024

4. An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading;Engineering Cyber-Physical Systems and Critical Infrastructures;2024

5. Diabetic Net for Diabetic Retinopathy Image Classification Using Deep Convolutional Neural Network;2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2023-11-29

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