AIMC Topic: Retina

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Automatic segmentation of multitype retinal fluid from optical coherence tomography images using semisupervised deep learning network.

The British journal of ophthalmology Jun 13, 2022
BACKGROUND/AIMS: To develop and validate a deep learning model for automated segmentation of multitype retinal fluid using optical coherence tomography (OCT) images.
Humans Retrospective Studies Retina Subretinal Fluid Deep Learning Tomography, Optical Coherence
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Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model.

Computational intelligence and neuroscience May 26, 2022
In today's world, diabetic retinopathy is a very severe health issue, which is affecting many humans of different age groups. Due to the high levels of blood sugar, the minuscule blood vessels in the retina may get damaged in no time and further may ...
Falconiformes Diabetes Mellitus Retina Humans Birds Diabetic Retinopathy Deep Learning Machine Learning Algorithms Animals
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A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images.

Scientific reports May 20, 2022
Detection, diagnosis, and treatment of ophthalmic diseases depend on extraction of information (features and/or their dimensions) from the images. Deep learning (DL) model are crucial for the automation of it. Here, we report on the development of a ...
Deep Learning Image Processing, Computer-Assisted Reproducibility of Results Angiography Tomography, Optical Coherence Retina
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A Detailed Systematic Review on Retinal Image Segmentation Methods.

Journal of digital imaging May 4, 2022
The separation of blood vessels in the retina is a major aspect in detecting ailment and is carried out by segregating the retinal blood vessels from the fundus images. Moreover, it helps to provide earlier therapy for deadly diseases and prevent fur...
Retina Neural Networks, Computer Retinal Vessels Algorithms Humans Image Processing, Computer-Assisted Fundus Oculi
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Towards more efficient ophthalmic disease classification and lesion location via convolution transformer.

Computer methods and programs in biomedicine Apr 27, 2022
OBJECTIVE: A retina optical coherence tomography (OCT) image differs from a traditional image due to its significant speckle noise, irregularity, and inconspicuous features. A conventional deep learning architecture cannot effectively improve the cla...
Retina Artificial Intelligence Tomography, Optical Coherence Neural Networks, Computer
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Artificial intelligence based detection of age-related macular degeneration using optical coherence tomography with unique image preprocessing.

European journal of ophthalmology Apr 25, 2022
PURPOSE: The aim of the study is to improve the accuracy of age related macular degeneration (AMD) disease in its earlier phases with proposed Capsule Network (CapsNet) architecture trained on speckle noise reduced spectral domain optical coherence t...
Humans Artificial Intelligence Tomography, Optical Coherence Wet Macular Degeneration Bayes Theorem Retina
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Recent Advanced Deep Learning Architectures for Retinal Fluid Segmentation on Optical Coherence Tomography Images.

Sensors (Basel, Switzerland) Apr 15, 2022
With non-invasive and high-resolution properties, optical coherence tomography (OCT) has been widely used as a retinal imaging modality for the effective diagnosis of ophthalmic diseases. The retinal fluid is often segmented by medical experts as a p...
Macular Edema Diabetic Retinopathy Deep Learning Tomography, Optical Coherence Retina Humans
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State-of-the-art retinal vessel segmentation with minimalistic models.

Scientific reports Apr 13, 2022
The segmentation of retinal vasculature from eye fundus images is a fundamental task in retinal image analysis. Over recent years, increasingly complex approaches based on sophisticated Convolutional Neural Network architectures have been pushing per...
Fundus Oculi Retina Retinal Vessels Neural Networks, Computer Image Processing, Computer-Assisted
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Synergistically segmenting choroidal layer and vessel using deep learning for choroid structure analysis.

Physics in medicine and biology Apr 1, 2022
. The choroid is the most vascularized structure in the human eye, whose layer structure and vessel distribution are both critical for the physiology of the retina, and disease pathogenesis of the eye. Although some works have used graph-based method...
Image Processing, Computer-Assisted Choroid Neural Networks, Computer Deep Learning Retina Humans
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Emergence of Direction-Selective Retinal Cell Types in Task-Optimized Deep Learning Models.

Journal of computational biology : a journal of computational molecular cell biology Mar 11, 2022
Convolutional neural networks (CNNs), a class of deep learning models, have experienced recent success in modeling sensory cortices and retinal circuits through optimizing performance on machine learning tasks, otherwise known as task optimization. P...
Neural Networks, Computer Retina Machine Learning Neurons Deep Learning
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