AIMC Topic: Retinal Pigment Epithelium
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Spatially Aware Dense-LinkNet Based Regression Improves Fluorescent Cell Detection in Adaptive Optics Ophthalmic Images.
IEEE journal of biomedical and health informatics
Dec 4, 2020
Retinal pigment epithelial (RPE) cells play an important role in nourishing retinal neurosensory photoreceptor cells, and numerous blinding diseases are associated with RPE defects. Their fluorescence signature can now be visualized in the living hum...
Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning.
Translational vision science & technology
Oct 13, 2020
PURPOSE: To use a deep learning model to develop a fully automated method (fully semantic network and graph search [FS-GS]) of retinal segmentation for optical coherence tomography (OCT) images from patients with Stargardt disease.
Classification of pachychoroid disease on ultrawide-field indocyanine green angiography using auto-machine learning platform.
The British journal of ophthalmology
Jul 3, 2020
AIMS: Automatic identification of pachychoroid maybe used as an adjunctive method to confirm the condition and be of help in treatment for macular diseases. This study investigated the feasibility of classifying pachychoroid disease on ultra-widefiel...
Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks.
Translational vision science & technology
Jun 16, 2020
PURPOSE: To develop a neural network (NN)-based approach, with limited training resources, that identifies and counts the number of retinal pigment epithelium (RPE) cells in confocal microscopy images obtained from cell culture or mice RPE/choroid fl...
Role of Deep Learning-Quantified Hyperreflective Foci for the Prediction of Geographic Atrophy Progression.
American journal of ophthalmology
Apr 8, 2020
PURPOSE: To quantitatively measure hyperreflective foci (HRF) during the progression of geographic atrophy (GA) secondary to age-related macular degeneration (AMD) using deep learning (DL) and investigate the association with local and global growth ...
Application of a Deep Machine Learning Model for Automatic Measurement of EZ Width in SD-OCT Images of RP.
Translational vision science & technology
Mar 17, 2020
PURPOSE: We applied a deep convolutional neural network model for automatic identification of ellipsoid zone (EZ) in spectral domain optical coherence tomography B-scans of retinitis pigmentosa (RP).
Automated segmentation of en face choroidal images obtained by optical coherent tomography by machine learning.
Japanese journal of ophthalmology
Oct 6, 2018
PURPOSE: To develop an automated method to segment the choroidal layers of en face optical coherent tomography (OCT) images by machine learning.
Machine Learning to Analyze the Prognostic Value of Current Imaging Biomarkers in Neovascular Age-Related Macular Degeneration.
Ophthalmology. Retina
May 31, 2017
PURPOSE: To evaluate the potential of machine learning to predict best-corrected visual acuity (BCVA) outcomes from structural and functional assessments during the initiation phase in patients receiving standardized ranibizumab therapy for neovascul...
Ranibizumab
Prognosis
Follow-Up Studies
Humans
Retinal Pigment Epithelium
Vascular Endothelial Growth Factor A
Machine Learning
Wet Macular Degeneration
Prospective Studies
Intravitreal Injections
Fluorescein Angiography
Macula Lutea
Reproducibility of Results
Angiogenesis Inhibitors
Treatment Outcome
Visual Acuity
Tomography, Optical Coherence
Fundus Oculi
Controlled surface morphology and hydrophilicity of polycaprolactone toward human retinal pigment epithelium cells.
Materials science & engineering. C, Materials for biological applications
Nov 24, 2016
Applying scaffolds as a bed to enhance cell proliferation and even differentiation is one of the treatment of retina diseases such as age-related macular degeneration (AMD) which deteriorating photoreceptors and finally happening blindness. In this s...
Texture Descriptors Ensembles Enable Image-Based Classification of Maturation of Human Stem Cell-Derived Retinal Pigmented Epithelium.
PloS one
Feb 19, 2016
AIMS: A fast, non-invasive and observer-independent method to analyze the homogeneity and maturity of human pluripotent stem cell (hPSC) derived retinal pigment epithelial (RPE) cells is warranted to assess the suitability of hPSC-RPE cells for impla...
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