Artificial intelligence in retinal disease: clinical application, challenges, and future directions
Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …
the largest share of visually impaired children, working-age adults (inherited retinal …
Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey
Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation
Deep learning methods have enabled a fast, accurate and automated approach for retinal
layer segmentation in posterior segment OCT images. Due to the success of semantic …
layer segmentation in posterior segment OCT images. Due to the success of semantic …
[HTML][HTML] Endpoints for clinical trials in ophthalmology
With the identification of novel targets, the number of interventional clinical trials in
ophthalmology has increased. Visual acuity has for a long time been considered the gold …
ophthalmology has increased. Visual acuity has for a long time been considered the gold …
Stargardt disease and progress in therapeutic strategies
Background Stargardt disease (STGD1) is an autosomal recessive retinal dystrophy due to
mutations in ABCA4, characterized by subretinal deposition of lipofuscin-like substances …
mutations in ABCA4, characterized by subretinal deposition of lipofuscin-like substances …
Stargardt disease: Multimodal imaging: A review
RC Heath Jeffery, FK Chen - Clinical & Experimental …, 2021 - Wiley Online Library
Stargardt disease (STGD1) is an autosomal recessive retinal dystrophy, characterised by
bilateral progressive central vision loss and subretinal deposition of lipofuscin‐like …
bilateral progressive central vision loss and subretinal deposition of lipofuscin‐like …
OCT retinal and choroidal layer instance segmentation using mask R-CNN
Optical coherence tomography (OCT) of the posterior segment of the eye provides high-
resolution cross-sectional images that allow visualization of individual layers of the posterior …
resolution cross-sectional images that allow visualization of individual layers of the posterior …
[HTML][HTML] LOCTseg: A lightweight fully convolutional network for end-to-end optical coherence tomography segmentation
E Parra-Mora, LA da Silva Cruz - Computers in Biology and Medicine, 2022 - Elsevier
This article presents a novel end-to-end automatic solution for semantic segmentation of
optical coherence tomography (OCT) images. OCT is a non-invasive imaging technology …
optical coherence tomography (OCT) images. OCT is a non-invasive imaging technology …
Multiscale attention gated network (MAGNet) for retinal layer and macular cystoid edema segmentation
A Cazañas-Gordón, LA da Silva Cruz - IEEE Access, 2022 - ieeexplore.ieee.org
Retinal optical coherence tomography (OCT) imaging is a mainstay in the clinical diagnosis
of several sight-threatening diseases. Due to the wide variability in shape and orientation of …
of several sight-threatening diseases. Due to the wide variability in shape and orientation of …
Ensemble learning approach to retinal thickness assessment in optical coherence tomography
Manual assessment of the retinal thickness in optical coherence tomography images is a
time-consuming task, prone to error and inter-observer variability. The wide variability of the …
time-consuming task, prone to error and inter-observer variability. The wide variability of the …