Deep learning in the grading of diabetic retinopathy: A review-Reference-Cited by-同舟云学术

Deep learning in the grading of diabetic retinopathy: A review

Published:2022-06-21 Issue:8 Volume:16 Page:667-682
ISSN:1751-9632
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Tajudin Nurul Mirza Afiqah¹^ORCID,Kipli Kuryati¹^ORCID,Mahmood Muhammad Hamdi²^ORCID,Lim Lik Thai³,Awang Mat Dayang Azra¹^ORCID,Sapawi Rohana¹^ORCID,Sahari Siti Kudnie¹^ORCID,Lias Kasumawati¹^ORCID,Jali Suriati Khartini⁴^ORCID,Hoque Mohammed Enamul¹^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering University Malaysia Sarawak (UNIMAS) Sarawak Malaysia

2. Department of Para‐Clinical Sciences Faculty of Medicine and Health Sciences (FMHS) University Malaysia Sarawak (UNIMAS) Sarawak Malaysia

3. Department of Ophthalmology Faculty of Medicine and Health Sciences (FMHS) University Malaysia Sarawak (UNIMAS) Sarawak Malaysia

4. Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Sarawak Malaysia

Funder

Kementerian Sains, Teknologi dan Inovasi

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cvi2.12116

Reference68 articles.

1. A Survey on Medical Diagnosis of Diabetes Using Machine Learning Techniques

2. Kalita J. Emilia V.:Advances in Intelligent Systems and Computing 740 Recent Developments in Machine Learning and Data Analytics(2018)

3. Artificial Flora Algorithm-Based Feature Selection with Gradient Boosted Tree Model for Diabetes Classification

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