British Journal of Ophthalmology

Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras

Oct 24, 2022 | British Journal of Ophthalmology

British Journal of Ophthalmology, July 2021 Background/aims To evaluate the performances of deep learning (DL) algorithms for detection of presence and extent pterygium, based on colour anterior segment photographs (ASPs) taken from slit-lamp and hand-held cameras....

Computer-aided detection and abnormality score for the outer retinal layer in optical coherence tomography

Oct 17, 2022 | British Journal of Ophthalmology

British Journal of Ophthalmology, April 2021 Background To develop computer-aided detection (CADe) of ORL abnormalities in the retinal pigmented epithelium, interdigitation zone, and ellipsoid zone via optical coherence tomography (OCT). Methods In this retrospective...

Detection of features associated with neovascular age-related macular degeneration in ethnically distinct data sets by an optical coherence tomography: trained deep learning algorithm

Oct 17, 2022 | British Journal of Ophthalmology

British Journal of Ophthalmology, September 2020 Background The ability of deep learning (DL) algorithms to identify eyes with neovascular age-related macular degeneration (nAMD) from optical coherence tomography (OCT) scans has been previously established. We...