Machine Learning-based Diabetic Retinopathy Early Detection and Classification Systems- A Survey-Reference-Cited by-同舟云学术

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Machine Learning-based Diabetic Retinopathy Early Detection and Classification Systems- A Survey

Published:2021-04-28 Issue: Volume: Page:
ISSN:
Container-title:2021 1st Babylon International Conference on Information Technology and Science (BICITS)
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Author:

Hasan Dathar A.,Zeebaree Subhi R. M.,Sadeeq Mohammed A. M.,Shukur Hanan M.,Zebari Rizgar R.,Alkhayyat Ahmed H.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9509858/9509866/09509920.pdf?arnumber=9509920

Cited by 18 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. OptiDiab: revolutionizing diabetes detection with the binary bald eagle search algorithm;Multimedia Tools and Applications;2024-01-31

2. Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images;Frontiers in Computer Science;2024-01-18

3. Ant Lion Optimizer with Deep Transfer Learning Model for Diabetic Retinopathy Grading on Retinal Fundus Images;Proceedings of Congress on Control, Robotics, and Mechatronics;2023-11-10

4. Analysis of Transfers Learning Techniques for Early Detection and Grading of Diabetic Retinopathy on Retinal Images;2023 International Conference on Advanced Computing Technologies and Applications (ICACTA);2023-10-06

5. Constructive Analysis on Prediction and Detection of Diabetic Retinopathy (DR) using Machine Learning Algorithms - A Generic Survey;2023 7th International Conference on Computing Methodologies and Communication (ICCMC);2023-02-23

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