AIMC Topic: Retinal Vessels

Clear Filters Showing 91 to 100 of 217 articles

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...
Humans Neural Networks, Computer Fundus Oculi Retina Retinal Vessels Algorithms Image Processing, Computer-Assisted
View on PubMed DOI

LightEyes: A Lightweight Fundus Segmentation Network for Mobile Edge Computing.

Sensors (Basel, Switzerland) Apr 19, 2022
Fundus is the only structure that can be observed without trauma to the human body. By analyzing color fundus images, the diagnosis basis for various diseases can be obtained. Recently, fundus image segmentation has witnessed vast progress with the d...
Humans Retinal Vessels Neural Networks, Computer Fundus Oculi Image Processing, Computer-Assisted Exudates and Transudates
View on PubMed DOI

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...
Retina Retinal Vessels Neural Networks, Computer Image Processing, Computer-Assisted Fundus Oculi
View on PubMed DOI

Eyeing the retinal vessels: A window on the heart and beyond.

Atherosclerosis Mar 24, 2022
Retinal Vessels Artificial Intelligence Machine Learning
View on PubMed DOI

DilUnet: A U-net based architecture for blood vessels segmentation.

Computer methods and programs in biomedicine Mar 5, 2022
BACKGROUND AND OBJECTIVE: Retinal image segmentation can help clinicians detect pathological disorders by studying changes in retinal blood vessels. This early detection can help prevent blindness and many other vision impairments. So far, several su...
Neural Networks, Computer Retinal Vessels Image Processing, Computer-Assisted Retina
View on PubMed DOI

Curv-Net: Curvilinear structure segmentation network based on selective kernel and multi-Bi-ConvLSTM.

Medical physics Feb 25, 2022
PURPOSE: Accurately segmenting curvilinear structures, for example, retinal blood vessels or nerve fibers, in the medical image is essential to the clinical diagnosis of many diseases. Recently, deep learning has become a popular technology to deal w...
Fundus Oculi Retinal Vessels Reproducibility of Results Image Processing, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

Deep learning model using retinal vascular images for classifying schizophrenia.

Schizophrenia research Feb 14, 2022
Contemporary psychiatric diagnosis still relies on the subjective symptom report of the patient during a clinical interview by a psychiatrist. Given the significant variability in personal reporting and differences in the skill set of psychiatrists, ...
Retina Deep Learning Schizophrenia Fundus Oculi Retinal Vessels Humans Algorithms
View on PubMed DOI

Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm.

IEEE transactions on medical imaging Feb 2, 2022
Recently, many methods based on hand-designed convolutional neural networks (CNNs) have achieved promising results in automatic retinal vessel segmentation. However, these CNNs remain constrained in capturing retinal vessels in complex fundus images....
Neural Networks, Computer Image Processing, Computer-Assisted Fundus Oculi Retinal Vessels
View on PubMed DOI

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...
Retinal Vessels Diagnostic Techniques, Ophthalmological Aged Photography Biomarkers Peripheral Arterial Disease Male Humans Aged, 80 and over Female Area Under Curve Middle Aged Neural Networks, Computer Early Diagnosis Fundus Oculi Deep Learning Optic Disk Feasibility Studies ROC Curve
View on PubMed DOI

PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation.

PloS one Jan 24, 2022
The accurate segmentation of retinal vessels images can not only be used to evaluate and monitor various ophthalmic diseases, but also timely reflect systemic diseases such as diabetes and blood diseases. Therefore, the study on segmentation of retin...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Retinal Vessels Humans
View on PubMed DOI
Popular Topics
Recent Journals