Longitudinal deep network for consistent OCT layer segmentation
Retinal layer thickness is an important bio-marker for people with multiple sclerosis (PwMS).
In clinical practice, retinal layer thickness changes in optical coherence tomography (OCT) …
In clinical practice, retinal layer thickness changes in optical coherence tomography (OCT) …
A comprehensive review of artificial intelligence models for screening major retinal diseases
This paper provides a systematic survey of artificial intelligence (AI) models that have been
proposed over the past decade to screen retinal diseases, which can cause severe visual …
proposed over the past decade to screen retinal diseases, which can cause severe visual …
Depth-resolved visualization and automated quantification of hyperreflective foci on OCT scans using optical attenuation coefficients
An automated depth-resolved algorithm using optical attenuation coefficients (OACs) was
developed to visualize, localize, and quantify hyperreflective foci (HRF) seen on OCT …
developed to visualize, localize, and quantify hyperreflective foci (HRF) seen on OCT …
Robotic navigation autonomy for subretinal injection via intelligent real-time virtual ioct volume slicing
S Dehghani, M Sommersperger… - … on Robotics and …, 2023 - ieeexplore.ieee.org
In the last decade, various robotic platforms have been introduced that could support
delicate retinal surgeries. Concurrently, to provide semantic understanding of the surgical …
delicate retinal surgeries. Concurrently, to provide semantic understanding of the surgical …
Automated segmentation and quantification of calcified drusen in 3D swept source OCT imaging
Qualitative and quantitative assessments of calcified drusen are clinically important for
determining the risk of disease progression in age-related macular degeneration (AMD) …
determining the risk of disease progression in age-related macular degeneration (AMD) …
Deep-learning-based automated measurement of outer retinal layer thickness for use in the assessment of age-related macular degeneration, applicable to both …
Effective biomarkers are required for assessing the progression of age-related macular
degeneration (AMD), a prevalent and progressive eye disease. This paper presents a deep …
degeneration (AMD), a prevalent and progressive eye disease. This paper presents a deep …
Deep learning network with differentiable dynamic programming for retina OCT surface segmentation
Multiple-surface segmentation in optical coherence tomography (OCT) images is a
challenging problem, further complicated by the frequent presence of weak image …
challenging problem, further complicated by the frequent presence of weak image …
Retinal OCT layer segmentation via joint motion correction and graph-assisted 3D neural network
Optical Coherence Tomography (OCT) is a widely used 3D imaging technology in
ophthalmology. Segmentation of retinal layers in OCT is important for diagnosis and …
ophthalmology. Segmentation of retinal layers in OCT is important for diagnosis and …
[HTML][HTML] Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview
Artificial intelligence has transformed medical diagnostic capabilities, particularly through
medical image analysis. AI algorithms perform well in detecting abnormalities with a strong …
medical image analysis. AI algorithms perform well in detecting abnormalities with a strong …
[HTML][HTML] Enhanced OCT chorio-retinal segmentation in low-data settings with semi-supervised GAN augmentation using cross-localisation
Training deep learning methods for optical coherence tomography (OCT) retinal and
choroidal layer segmentation is a challenge when data is scarce. In medical image analysis …
choroidal layer segmentation is a challenge when data is scarce. In medical image analysis …