Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013–2023)

Akpinar, Muhammed Halil; Sengur, Abdulkadir; Faust, Oliver; Tong, Louis; Molinari, Filippo; Acharya, U. Rajendra

doi:10.1016/j.cmpb.2024.108253

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2024

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Cited by 10 publications

References 132 publications

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Evaluating deep learning models for classifying OCT images with limited data and noisy labels

Miladinović,

Biscontin,

Ajčević

et al. 2024

Sci Rep

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Evaluating deep learning models for classifying OCT images with limited data and noisy labels

Miladinović,

Biscontin,

Ajčević

et al. 2024

Sci Rep

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Implications of myopia in diagnosis and screening of open angle glaucoma

Iwase,

Araie

2024

Current Opinion in Ophthalmology

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Purpose of review Rapid increase in the prevalence of myopia has been documented worldwide. Myopia, especially high myopia, is not only an important risk factor for having open angle glaucoma (OAG), but also has a strong linking with the progression of OAG. Since myopic axial length (AXL) elongation is associated with nonglaucomatous optic nerve head (ONH) and visual field abnormalities, myopia poses a challenge in differential diagnosis of OAG. This review provides an overview of literature studying relationships between myopic AXL-elongation and diagnosis and prognosis of OAG, and functional and structural changes in the eye. Recent findings Studies using optical coherence tomography (OCT), OCT-angiography, those using standard automated perimetry (SAP), other perimetric or electrophysiological methods showed dose-dependent effects of myopic AXL elongation on the structural changes in the ONH and parapapillary tissues, and functional abnormalities of an eye. Large cohort studies showed approximately one quarter of eyes with nonpathologic high myopia were complicated with various patterns of visual field defects including glaucoma-like ones. Summary Findings of cross-sectional and longitudinal studies obtained using various fundus imaging devices must be integrated to perimetric results to improve differential diagnosis of OAG in myopic eyes, in which artificial intelligence technology may be useful.

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Neovascular Membrane Identification in OCTA Images and Biomarker Extraction for Patients Suffering from Age-Related Macular Degeneration

Raluca,

Andrei,

Damian

et al. 2024

2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP)

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Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013–2023)

Cited by 10 publications

References 132 publications

Evaluating deep learning models for classifying OCT images with limited data and noisy labels

Evaluating deep learning models for classifying OCT images with limited data and noisy labels

Implications of myopia in diagnosis and screening of open angle glaucoma

Neovascular Membrane Identification in OCTA Images and Biomarker Extraction for Patients Suffering from Age-Related Macular Degeneration

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