Non-Proliferative Diabetic Retinopathy Classification Based on Hard Exudates Using Combination of FRCNN, Morphology, and ANFIS-Reference-Cited by-同舟云学术

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Non-Proliferative Diabetic Retinopathy Classification Based on Hard Exudates Using Combination of FRCNN, Morphology, and ANFIS

Published:2020-10-03 Issue: Volume: Page:
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Container-title:2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE)
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Author:

Putra Ricky Eka,Tjandrasa Handayani,Suciati Nanik,Wicaksono Ardian Yusuf

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9243082/9243169/09243185.pdf?arnumber=9243185

Cited by 6 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

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3. Preprocessing, Feature Extraction, and Classification Methodologies on Diabetic Retinopathy Using Fundus Images;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

4. Implementation of Convolutional Neural Network in the Development of Object Recognition System;2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE);2023-10-14

5. Comparative Analysis of Diabetic Retinopathy Classification Approaches Using Machine Learning and Deep Learning Techniques;Archives of Computational Methods in Engineering;2023-09-20

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