AIMC Topic: Macula Lutea
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A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans.
Medical image analysis
Jun 12, 2021
The objective quantification of retinal atrophy associated with age-related macular degeneration (AMD) is required for clinical diagnosis, follow-up, treatment efficacy evaluation, and clinical research. Spectral Domain Optical Coherence Tomography (...
Detection of oedema on optical coherence tomography images using deep learning model trained on noisy clinical data.
Acta ophthalmologica
May 15, 2021
PURPOSE: To meet the demands imposed by the continuing growth of the Age-related macular degeneration (AMD) patient population, automation of follow-ups by detecting retinal oedema using deep learning might be a viable approach. However, preparing an...
Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT.
Ophthalmology
Apr 23, 2021
PURPOSE: To develop deep learning (DL) systems estimating visual function from macula-centered spectral-domain (SD) OCT images.
Deep Learning Approach for Automated Detection of Myopic Maculopathy and Pathologic Myopia in Fundus Images.
Ophthalmology. Retina
Feb 18, 2021
PURPOSE: To determine whether eyes with pathologic myopia can be identified and whether each type of myopic maculopathy lesion on fundus photographs can be diagnosed by deep learning (DL) algorithms.
Exploring a Structural Basis for Delayed Rod-Mediated Dark Adaptation in Age-Related Macular Degeneration Via Deep Learning.
Translational vision science & technology
Dec 15, 2020
PURPOSE: Delayed rod-mediated dark adaptation (RMDA) is a functional biomarker for incipient age-related macular degeneration (AMD). We used anatomically restricted spectral domain optical coherence tomography (SD-OCT) imaging data to localize de nov...
Detection of Glaucoma Deterioration in the Macular Region with Optical Coherence Tomography: Challenges and Solutions.
American journal of ophthalmology
Sep 18, 2020
PURPOSE: Macular imaging with optical coherence tomography (OCT) measures the most critical retinal ganglion cells (RGCs) in the human eye. The goal of this perspective is to review the challenges to detection of glaucoma progression with macular OCT...
A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study.
PloS one
Apr 30, 2020
BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate the ellipsoid zone (EZ) assessed by spectral domain optical coherence tomography (SD-OCT) in eyes with macular edema secondary to central retinal or he...
Retinal Vein Occlusion
Image Processing, Computer-Assisted
Recombinant Fusion Proteins
Angiogenesis Inhibitors
Macula Lutea
Adult
Humans
Treatment Outcome
Receptors, Vascular Endothelial Growth Factor
Male
Machine Learning
Tomography, Optical Coherence
Bevacizumab
Middle Aged
Drug Monitoring
Female
Pilot Projects
Workflow
Macular Edema
Vascular Endothelial Growth Factor A
Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.
PloS one
Apr 16, 2020
This study examined and compared outcomes of deep learning (DL) in identifying swept-source optical coherence tomography (OCT) images without myopic macular lesions [i.e., no high myopia (nHM) vs. high myopia (HM)], and OCT images with myopic macular...
A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans.
Translational vision science & technology
Feb 18, 2020
PURPOSE: The purpose of this study was to develop a 3D deep learning system from spectral domain optical coherence tomography (SD-OCT) macular cubes to differentiate between referable and nonreferable cases for glaucoma applied to real-world datasets...
Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images.
Communications biology
Jan 8, 2020
Retinal detachment can lead to severe visual loss if not treated timely. The early diagnosis of retinal detachment can improve the rate of successful reattachment and the visual results, especially before macular involvement. Manual retinal detachmen...
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