[HTML][HTML] Artificial intelligence in retina
U Schmidt-Erfurth, A Sadeghipour, BS Gerendas… - Progress in retinal and …, 2018 - Elsevier
Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …
condition of the retina and beyond ocular disease. Digital images providing millions of …
The development and clinical application of innovative optical ophthalmic imaging techniques
P Alexopoulos, C Madu, G Wollstein… - Frontiers in …, 2022 - frontiersin.org
The field of ophthalmic imaging has grown substantially over the last years. Massive
improvements in image processing and computer hardware have allowed the emergence of …
improvements in image processing and computer hardware have allowed the emergence of …
Multimodal retinal image analysis via deep learning for the diagnosis of intermediate dry age‐related macular degeneration: a feasibility study
Background and Objective. To determine if using a multi‐input deep learning approach in
the image analysis of optical coherence tomography (OCT), OCT angiography (OCT‐A), and …
the image analysis of optical coherence tomography (OCT), OCT angiography (OCT‐A), and …
From data to deployment: the collaborative community on ophthalmic imaging roadmap for artificial intelligence in age-related macular degeneration
Objective Health care systems worldwide are challenged to provide adequate care for the
200 million individuals with age-related macular degeneration (AMD). Artificial intelligence …
200 million individuals with age-related macular degeneration (AMD). Artificial intelligence …
Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier
M Treder, JL Lauermann, N Eter - Graefe's Archive for Clinical and …, 2018 - Springer
Purpose To automatically detect and classify geographic atrophy (GA) in fundus
autofluorescence (FAF) images using a deep learning algorithm. Methods In this study, FAF …
autofluorescence (FAF) images using a deep learning algorithm. Methods In this study, FAF …
Hyperreflective foci in age-related macular degeneration are associated with disease severity and functional impairment
C Duic, K Pfau, TDL Keenan, H Wiley… - Ophthalmology …, 2023 - Elsevier
Purpose To analyze presence of hyperreflective foci (HRF) across different age-related
macular degeneration (AMD) severities and examine its correlation with other structural and …
macular degeneration (AMD) severities and examine its correlation with other structural and …
High-performance detection of corneal ulceration using image classification with convolutional neural networks
Corneal Ulcer, also known as keratitis, represents the most frequently appearing symptom
among corneal diseases, the second leading cause of ocular morbidity worldwide …
among corneal diseases, the second leading cause of ocular morbidity worldwide …
Accurate drusen segmentation in optical coherence tomography via order-constrained regression of retinal layer heights
Drusen are an important biomarker for age-related macular degeneration (AMD). Their
accurate segmentation based on optical coherence tomography (OCT) is therefore relevant …
accurate segmentation based on optical coherence tomography (OCT) is therefore relevant …
Hyperreflective foci not seen as hyperpigmentary abnormalities on color fundus photographs in age-related macular degeneration
Purpose: To investigate the prognostic value of quantifying optical coherence tomography
(OCT)-defined hyperreflective foci (HRF) that do not correspond to hyperpigmentary …
(OCT)-defined hyperreflective foci (HRF) that do not correspond to hyperpigmentary …
Multimodal imaging patterns for development of central atrophy secondary to age-related macular degeneration
Purpose: To evaluate the development of central atrophy in eyes with age-related macular
degeneration (AMD). Methods: Six-year longitudinal multimodal retinal imaging data …
degeneration (AMD). Methods: Six-year longitudinal multimodal retinal imaging data …