D Chen, EA Ran, TF Tan… - The Asia-Pacific …, 2023 - journals.lww.com
Diagnosis and detection of progression of glaucoma remains challenging. Artificial intelligence–based tools have the potential to improve and standardize the assessment of …
Purpose: To evaluate the role of ensemble learning techniques with deep learning in classifying diabetic retinopathy (DR) in optical coherence tomography angiography (OCTA) …
This study describes a segmentation-free deep learning (DL) algorithm for measuring retinal nerve fibre layer (RNFL) thickness on spectral-domain optical coherence tomography …
G Razaghi, E Hedayati, M Hejazi, R Kafieh… - Scientific Reports, 2022 - nature.com
This work aims at determining the ability of a deep learning (DL) algorithm to measure retinal nerve fiber layer (RNFL) thickness from optical coherence tomography (OCT) scans …
S Berteloot, RC Barão, LA Pinto… - Journal of …, 2024 - journals.lww.com
Objective: This review article examines the strengths and limitations of OCT and optic disc photography in glaucoma screening. Methods: A comprehensive literature review was …
L Arnould, C Guenancia, A Bourredjem… - … vision science & …, 2021 - tvst.arvojournals.org
Purpose: Assessment of cardiovascular risk is the keystone of prevention in cardiovascular disease. The objective of this pilot study was to estimate the cardiovascular risk score …
Background/Aims To evaluate, with spectral-domain optical coherence tomography (SD- OCT), the glaucoma-diagnostic ability of a deep-learning classifier. Methods A total of 777 …
AC Thompson, A Falconi… - Frontiers in …, 2022 - frontiersin.org
Glaucoma is a leading cause of progressive blindness and visual impairment worldwide. Microstructural evidence of glaucomatous damage to the optic nerve head and associated …