Enhanced diabetic retinopathy detection and exudates segmentation using deep learning: A promising approach for early disease diagnosis-Reference-Cited by-同舟云学术

Enhanced diabetic retinopathy detection and exudates segmentation using deep learning: A promising approach for early disease diagnosis

Published:2024-02-22 Issue:32 Volume:83 Page:77785-77808
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Latha G.,Priya P. Aruna^ORCID,Smitha V. K.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18629-7.pdf

Reference31 articles.

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4. Gupta M, Singh A, Duggal M, Singh R, Bhadada S, Khanna P (2021) Natural history of diabetic retinopathy through retrospective analysis in type 2 diabetic patients-an exploratory study. Front Public Health. Nov 29;9:791378. https://doi.org/10.3389/fpubh.2021.791378. PMID: 34912774; PMCID: PMC8666874

5. Arabi A, Tadayoni R, Ahmadieh H, Shahraki T, Nikkhah H (2022) Update on management of non-proliferative diabetic retinopathy without diabetic macular edema; Is There a Paradigm Shift? J Ophthalmic Vis Res. Jan 21;17(1):108–117. https://doi.org/10.18502/jovr.v17i1.10175. PMID: 35194501; PMCID: PMC8850856

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