AIMC Topic: Macular Degeneration
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Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jul 14, 2023
Optical Coherence Tomography (OCT) is an emerging technology that provides three-dimensional images of the microanatomy of biological tissue in-vivo and at micrometer-scale resolution. OCT imaging has been widely used to diagnose and manage various m...
Cross-camera Performance of Deep Learning Algorithms to Diagnose Common Ophthalmic Diseases: A Comparative Study Highlighting Feasibility to Portable Fundus Camera Use.
Current eye research
May 29, 2023
PURPOSE: To compare the inter-camera performance and consistency of various deep learning (DL) diagnostic algorithms applied to fundus images taken from desktop Topcon and portable Optain cameras.
FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading.
Computer methods and programs in biomedicine
May 26, 2023
OBJECTIVE: Ophthalmological pathologies such as glaucoma, diabetic retinopathy and age-related macular degeneration are major causes of blindness and vision impairment. There is a need for novel decision support tools that can simplify and speed up t...
Deep learning for detection of age-related macular degeneration: A systematic review and meta-analysis of diagnostic test accuracy studies.
PloS one
Apr 6, 2023
OBJECTIVE: To evaluate the diagnostic accuracy of deep learning algorithms to identify age-related macular degeneration and to explore factors impacting the results for future model training.
Performance analysis of pretrained convolutional neural network models for ophthalmological disease classification.
Arquivos brasileiros de oftalmologia
Apr 3, 2023
PURPOSE: This study aimed to evaluate the classification performance of pretrained convolutional neural network models or architectures using fundus image dataset containing eight disease labels.
Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19.
Journal of telemedicine and telecare
Mar 13, 2023
INTRODUCTION: Age-related macular degeneration, diabetic retinopathy, and glaucoma are vision-threatening diseases that are leading causes of vision loss. Many studies have validated deep learning artificial intelligence for image-based diagnosis of ...
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning.
Computer methods and programs in biomedicine
Dec 1, 2022
BACKGROUND AND OBJECTIVES: Age-related macular degeneration (AMD) is a degenerative disorder affecting the macula, a key area of the retina for visual acuity. Nowadays, AMD is the most frequent cause of blindness in developed countries. Although some...
Development of a deep learning algorithm for myopic maculopathy classification based on OCT images using transfer learning.
Frontiers in public health
Sep 21, 2022
PURPOSE: To apply deep learning (DL) techniques to develop an automatic intelligent classification system identifying the specific types of myopic maculopathy (MM) based on macular optical coherence tomography (OCT) images using transfer learning (TL...
How Artificial Intelligence Aspires to Change the Diagnostic and Treatment Paradigm in Eyes With Age-Related Macular Degeneration.
Ophthalmic surgery, lasers & imaging retina
Sep 1, 2022
Correlation of vascular and fluid-related parameters in neovascular age-related macular degeneration using deep learning.
Acta ophthalmologica
Aug 1, 2022
PURPOSE: To identify correlations between the vascular characteristics of macular neovascularization (MNV) obtained by optical coherence tomography angiography (OCTA) and distinct retinal fluid volumes in neovascular age-related macular degeneration ...
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