AIMC Topic: Macular Degeneration
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DualWMDR: Detecting epistatic interaction with dual screening and multifactor dimensionality reduction.
Human mutation
Nov 25, 2019
Detecting epistatic interaction is a typical way of identifying the genetic susceptibility of complex diseases. Multifactor dimensionality reduction (MDR) is a decent solution for epistasis detection. Existing MDR-based methods still suffer from high...
[Chances of Artificial Intelligence and Big Data for the Diagnosis and Treatment of Age-related Macular Degeneration].
Klinische Monatsblatter fur Augenheilkunde
Oct 31, 2019
Age-related macular degeneration (AMD) is the leading cause of blindness in the western world. Intravitreal injection of anti-vascular endothelial growth factor (anti-VEGF) is an effective therapy of the neovascular form of this condition. Multimodal...
Automated detection and classification of early AMD biomarkers using deep learning.
Scientific reports
Jul 29, 2019
Age-related macular degeneration (AMD) affects millions of people and is a leading cause of blindness throughout the world. Ideally, affected individuals would be identified at an early stage before late sequelae such as outer retinal atrophy or exud...
Automatic segmentation of hyperreflective foci in OCT images.
Computer methods and programs in biomedicine
Jun 17, 2019
BACKGROUND AND OBJECTIVE: The leading cause of vision loss in the Western World is Age-related Macular Degeneration (AMD), but together with modern medicines, tracking the number of Hyperreflective Foci (HF) on Optical Coherence Tomography (OCT) imag...
Humans
Algorithms
Biomarkers
Neural Networks, Computer
Software
Tomography, Optical Coherence
Vascular Endothelial Growth Factor A
Macular Degeneration
Computer Graphics
Image Processing, Computer-Assisted
Probability
Models, Theoretical
Automation
Area Under Curve
Retrospective Studies
Deep Learning
Decision Support Systems, Clinical
Self-supervised iterative refinement learning for macular OCT volumetric data classification.
Computers in biology and medicine
Jun 15, 2019
We present self-supervised iterative refinement learning (SIRL) as a pipeline to improve a type of macular optical coherence tomography (OCT) volumetric image classification algorithms. In this type of algorithms, first, two-dimensional (2D) image cl...
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography.
Computer methods and programs in biomedicine
Jun 14, 2019
BACKGROUND AND OBJECTIVES: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance ...
Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration.
Medical image analysis
May 31, 2019
Autofluorescence is the emission of light by naturally occurring tissue components on the absorption of incident light. Autofluorescence within the eye is associated with several disorders, such as Age-related Macular Degeneration (AMD) which is a le...
[Can Big Data change our practices?].
Journal francais d'ophtalmologie
Apr 9, 2019
The European Medicines Agency has defined Big Data by the "3 V's": Volume, Velocity and Variety. These large databases allow access to real life data on patient care. They are particularly suited for studies of adverse events and pharmacoepidemiology...
Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images.
PloS one
Apr 5, 2019
Age-related macular degeneration (AMD) is the main cause of irreversible blindness among the elderly and require early diagnosis to prevent vision loss, and careful treatment is essential. Optical coherence tomography (OCT), the most commonly used im...
Artificial intelligence-based decision-making for age-related macular degeneration.
Theranostics
Jan 1, 2019
Artificial intelligence (AI) based on convolutional neural networks (CNNs) has a great potential to enhance medical workflow and improve health care quality. Of particular interest is practical implementation of such AI-based software as a cloud-base...
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