Diabetic Net for Diabetic Retinopathy Image Classification Using Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

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Diabetic Net for Diabetic Retinopathy Image Classification Using Deep Convolutional Neural Network

Published:2023-11-29 Issue: Volume: Page:152-156
ISSN:
Container-title:2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)
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Author:

Almayahi Weam Farhan¹,Najim Ali Hamza²,Al-Sharhanee Kareem Ali Malalah³

Affiliation:

1. General Directorate of Education in Al-Qadisiyah, Government Ministry of Education,Al-Qadisiyah,Iraq

2. Imam Al-Kadhum College,Department of Computer Technical Engineering,Baghdad,Iraq

3. Al-Farahidi University,Department of Communication Technical Engineering,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404090/10404140/10405015.pdf?arnumber=10405015

Reference20 articles.

1. Diabetes and tuberculosis co-epidemic: the Bali Declaration

2. Diabetic Foot Syndrome as a Possible Cardiovascular Marker in Diabetic Patients

3. Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review

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

5. Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy

Cited by 1 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. CGSX Ensemble: An Integrative Machine Learning and Deep Learning Approach for Improved Diabetic Retinopathy Classification;International Journal of Electrical and Electronics Research;2024-06-28

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