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Tytuł artykułu

Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review

Autorzy
Pavithra K.C. , Kumar Preetham , Geetha M. , Bhandary Sulatha V.
Wybrane pełne teksty z tego czasopisma
Identyfikatory
DOI
10.1016/j.bbe.2022.12.005
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is characterized by a buildup of extracellular fluid inside the macula through hyperpermeable vessels. The presence of DME can be spotted at any level of DR with varying degrees of severity using prominent imaging modalities such as Color Fundus Photography (CFP) and Optical Coherence Tomography (OCT). Computerized approaches for screening eye disorders appear to be beneficial, as they provide doctors with detailed insights into abnormalities. Such a system for the evaluation of retinal images can function as a stand-alone disease monitoring system. This review reports the state-of-art automated DME detection methods with traditional Machine Learning (ML) and Deep Learning (DL) techniques employing retinal fundus or OCT images. The paper provides a list of public retinal OCT and fundus imaging datasets for DME detection. In addition, the paper describes the dynamics of advancements in presented methods adopted in the past along with their strengths and limitations to highlight the insufficiencies that could be addressed in future investigations.
Słowa kluczowe
EN
PL
Wydawca
Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
Elsevier
Czasopismo
Biocybernetics and Biomedical Engineering
Rocznik
2023
Tom
Vol. 43, no. 1
Strony
157--188
Opis fizyczny
Bibliogr. 260 poz., rys., tab., wykr.
Twórcy
autor
Pavithra K.C.
pavithraforu@gmail.com
  • Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India
autor
Kumar Preetham
preetham.kumar@manipal.edu
  • Deputy Registrar Academics (Technical), Manipal Academy of Higher Education, and Professor, Department of Information and Communication Technology, Manipal Institute of Technology, Manipal 576104, Karnataka, India
autor
Geetha M.
geetha.maiya@manipal.edu
  • Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India
autor
Bhandary Sulatha V.
sulatha.bhandary@manipal.edu
  • Department of Ophthalmology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education Manipal, Karnataka, India
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Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-52dfede6-4a7b-4b2c-a26d-c39939e186ea
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