AIMC Topic: Fluorescein Angiography
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Classification Criteria for Acute Posterior Multifocal Placoid Pigment Epitheliopathy.
American journal of ophthalmology
Apr 9, 2021
PURPOSE: To determine classification criteria for acute posterior multifocal placoid pigment epitheliopathy (APMPPE).
Artificial intelligence in OCT angiography.
Progress in retinal and eye research
Mar 22, 2021
Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that provides three-dimensional, information-rich vascular images. With numerous studies demonstrating unique capabilities in biomarker quantification, diagnosis, and...
Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography.
IEEE transactions on medical imaging
Feb 2, 2021
Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature studies. Deep learning networks have been widely applied in the field of OCTA reconstruction, benefiting from its powerful mapping capability among i...
Deep learning-based classification of retinal atrophy using fundus autofluorescence imaging.
Computers in biology and medicine
Dec 28, 2020
PURPOSE: To automatically classify retinal atrophy according to its etiology, using fundus autofluorescence (FAF) images, using a deep learning model.
A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs.
Scientific reports
Dec 9, 2020
Fluorescein angiography (FA) is a procedure used to image the vascular structure of the retina and requires the insertion of an exogenous dye with potential adverse side effects. Currently, there is only one alternative non-invasive system based on O...
Artificial Intelligence for Automated Overlay of Fundus Camera and Scanning Laser Ophthalmoscope Images.
Translational vision science & technology
Oct 20, 2020
PURPOSE: The purpose of this study was to evaluate the ability to align two types of retinal images taken on different platforms; color fundus (CF) photographs and infrared scanning laser ophthalmoscope (IR SLO) images using mathematical warping and ...
Automated Quality Assessment and Image Selection of Ultra-Widefield Fluorescein Angiography Images through Deep Learning.
Translational vision science & technology
Sep 17, 2020
PURPOSE: Numerous angiographic images with high variability in quality are obtained during each ultra-widefield fluorescein angiography (UWFA) acquisition session. This study evaluated the feasibility of an automated system for image quality classifi...
Automatic detection of non-perfusion areas in diabetic macular edema from fundus fluorescein angiography for decision making using deep learning.
Scientific reports
Sep 15, 2020
Vision loss caused by diabetic macular edema (DME) can be prevented by early detection and laser photocoagulation. As there is no comprehensive detection technique to recognize NPA, we proposed an automatic detection method of NPA on fundus fluoresce...
Generative adversarial networks to predict treatment response for neovascular age-related macular degeneration: interesting, but is it useful?
The British journal of ophthalmology
Aug 29, 2020
Phase I trial on robot assisted retinal vein cannulation with ocriplasmin infusion for central retinal vein occlusion.
Acta ophthalmologica
Jul 23, 2020
PURPOSE: To evaluate the safety and feasibility of robot-assisted retinal vein cannulation with Ocriplasmin infusion for central retinal vein occlusion.
Fluorescein Angiography
Middle Aged
Vitrectomy
Treatment Outcome
Catheterization
Fibrinolysin
Aged
Visual Acuity
Follow-Up Studies
Tomography, Optical Coherence
Retinal Vein
Humans
Aged, 80 and over
Infusions, Intravenous
Retinal Vein Occlusion
Peptide Fragments
Prospective Studies
Male
Robotics
Fundus Oculi
Female
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