Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy-Reference-Cited by-同舟云学术

Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy

Author:

Ghouali S.¹^ORCID,Onyema EM.²^ORCID,Guellil MS.³^ORCID,Wajid M A.⁴^ORCID,Clare O.²,Cherifi W.⁵,Feham M.⁶

Affiliation:

1. Faculty of Sciences and Technology, Mustapha Stambouli University, Mascara, Algeria

2. Department of Mathematics and Computer Science, Coal City University, Enugu, Nigeria

3. Faculty of Economics, Business and Management Sciences, MCLDL Laboratory, University of Mascara, Mascara, Algeria

4. Department of Computer Science, Aligarh Muslim University, Aligarh, India

5. InnoDev (Dev Software), Tlemcen, Algeria

6. STIC Lab, Faculty of Technology, University of Tlemcen, Tlemcen, Algeria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

Reference76 articles.

1. Empirical evaluation of gated recurrent neural networks on sequence modelling;chung,2014

Cited by 23 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

3. Diabetic Retinopathy Identification Depend On Deep Learning Techniques: A comparative Study;2024 International Conference on Intelligent Systems and Computer Vision (ISCV);2024-05-08

5. Diagnosis of Diabetic Retinopathy Via Classification of Fundus Images Using Deep Learning Methods;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22