AIMC Topic: Macular Degeneration
Clear Filters Showing 61 to 70 of 170 articles
Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study.
BMJ open
Jul 28, 2022
OBJECTIVE: To develop and validate a real-world screening, guideline-based deep learning (DL) system for referable diabetic retinopathy (DR) detection.
Segmentation of macular neovascularization and leakage in fluorescein angiography images in neovascular age-related macular degeneration using deep learning.
Eye (London, England)
Jul 1, 2022
BACKGROUND/OBJECTIVES: We aim to develop an objective fully automated Artificial intelligence (AI) algorithm for MNV lesion size and leakage area segmentation on fluorescein angiography (FA) in patients with neovascular age-related macular degenerati...
Artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trials.
Experimental eye research
May 4, 2022
Validation of Soft Labels in Developing Deep Learning Algorithms for Detecting Lesions of Myopic Maculopathy From Optical Coherence Tomographic Images.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
May 1, 2022
PURPOSE: It is common for physicians to be uncertain when examining some images. Models trained with human uncertainty could be a help for physicians in diagnosing pathologic myopia.
DCNN-based prediction model for detection of age-related macular degeneration from color fundus images.
Medical & biological engineering & computing
Mar 10, 2022
Age-related macular degeneration (AMD) is a degenerative disorder in the macular region of the eye. AMD is the leading cause of irreversible vision loss in the elderly population. With the increase in aged population in the world, there is an urgent ...
Deep learning identify retinal nerve fibre and choroid layers as markers of age-related macular degeneration in the classification of macular spectral-domain optical coherence tomography volumes.
Acta ophthalmologica
Mar 1, 2022
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
Age-related macular degeneration (AMD) is the leading cause of vision loss. Some patients experience vision loss over a delayed timeframe, others at a rapid pace. Physicians analyze time-of-visit fundus photographs to predict patient risk of developi...
A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers.
Scientific reports
Feb 16, 2022
Within the next 1.5 decades, 1 in 7 U.S. adults is anticipated to suffer from age-related macular degeneration (AMD), a degenerative retinal disease which leads to blindness if untreated. Optical coherence tomography angiography (OCTA) has become a p...
Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study.
PloS one
Feb 14, 2022
PURPOSE: To evaluate the predictive ability of a deep learning-based algorithm to determine long-term best-corrected distance visual acuity (BCVA) outcomes in neovascular age-related macular degeneration (nARMD) patients using baseline swept-source o...
Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images.
Scientific reports
Feb 9, 2022
Neovascular age-related macular degeneration (nAMD) is among the main causes of visual impairment worldwide. We built a deep learning model to distinguish the subtypes of nAMD using spectral domain optical coherence tomography (SD-OCT) images. Data f...
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