AIMC Topic: Fundus Oculi

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Asymmetry between right and left fundus images identified using convolutional neural networks.

Scientific reports Jan 27, 2022
We analyzed fundus images to identify whether convolutional neural networks (CNNs) can discriminate between right and left fundus images. We gathered 98,038 fundus photographs from the Gyeongsang National University Changwon Hospital, South Korea, an...
Diagnostic Techniques, Ophthalmological Fundus Oculi Humans Datasets as Topic Algorithms Retrospective Studies Deep Learning Republic of Korea Image Processing, Computer-Assisted
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Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks.

PloS one Jan 27, 2022
In medical image classification tasks, it is common to find that the number of normal samples far exceeds the number of abnormal samples. In such class-imbalanced situations, reliable training of deep neural networks continues to be a major challenge...
Models, Theoretical Fundus Oculi Tomography, X-Ray Calibration Humans Deep Learning
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Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography.

Scientific reports Jan 26, 2022
Peripheral arterial disease (PAD) is caused by atherosclerosis and is a common disease of the elderly leading to excess morbidity and mortality. Early PAD diagnosis is important, as the only available causal therapy is addressing risk factors like sm...
Diagnostic Techniques, Ophthalmological Photography Retinal Vessels Feasibility Studies Early Diagnosis Optic Disk Area Under Curve Humans Fundus Oculi Male Middle Aged ROC Curve Peripheral Arterial Disease Deep Learning Female Neural Networks, Computer Aged Biomarkers Aged, 80 and over
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End-to-end diabetic retinopathy grading based on fundus fluorescein angiography images using deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 23, 2022
PURPOSE: To develop and validate a deep learning system for diabetic retinopathy (DR) grading based on fundus fluorescein angiography (FFA) images.
Deep Learning Diabetes Mellitus Fundus Oculi Neural Networks, Computer Algorithms Fluorescein Angiography Humans Diabetic Retinopathy
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Microscopic retinal blood vessels detection and segmentation using support vector machine and K-nearest neighbors.

Microscopy research and technique Jan 17, 2022
The retina is the deepest layer of texture covering the rear of the eye, recorded by fundus images. Vessel detection and segmentation are useful in disease diagnosis. The retina's blood vessels could help diagnose maladies such as glaucoma, diabetic ...
Fundus Oculi Algorithms Retina Retinal Vessels Image Processing, Computer-Assisted Support Vector Machine
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A deep learning model for screening type 2 diabetes from retinal photographs.

Nutrition, metabolism, and cardiovascular diseases : NMCD Jan 13, 2022
BACKGROUND AND AIMS: We aimed to develop and evaluate a non-invasive deep learning algorithm for screening type 2 diabetes in UK Biobank participants using retinal images.
Area Under Curve Fundus Oculi Humans Deep Learning Diabetes Mellitus, Type 2 Algorithms
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Deep Learning Approach for Automatic Microaneurysms Detection.

Sensors (Basel, Switzerland) Jan 11, 2022
In diabetic retinopathy (DR), the early signs that may lead the eyesight towards complete vision loss are considered as microaneurysms (MAs). The shape of these MAs is almost circular, and they have a darkish color and are tiny in size, which means t...
Diabetic Retinopathy Algorithms Sensitivity and Specificity Humans Microaneurysm Deep Learning Fundus Oculi
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Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images.

Journal of digital imaging Jan 7, 2022
Diabetic retinopathy is a chronic condition that causes vision loss if not detected early. In the early stage, it can be diagnosed with the aid of exudates which are called lesions. However, it is arduous to detect the exudate lesion due to the avail...
Algorithms Fundus Oculi Exudates and Transudates Diabetic Retinopathy Neural Networks, Computer Humans
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An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization.

Sensors (Basel, Switzerland) Jan 7, 2022
Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening-based treatment can save the patient from complete vision loss. Accurate...
Deep Learning Fundus Oculi Diagnostic Techniques, Ophthalmological Humans Optic Disk Glaucoma
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[Ocular changes as a diagnostic tool for malaria].

Die Ophthalmologie Dec 23, 2021
BACKGROUND: According to the WHO Malaria Report 2019 a total of 229 million people fall ill with malaria each year and two thirds of deaths involve children under 5 years of age.
Retina Child, Preschool Humans Ophthalmoscopy Malaria, Cerebral Child Artificial Intelligence Fundus Oculi
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