AIMC Topic: Retinal Vessels

Clear Filters Showing 111 to 120 of 217 articles

Deep learning-enabled ultra-widefield retinal vessel segmentation with an automated quality-optimized angiographic phase selection tool.

Eye (London, England) Aug 9, 2021
OBJECTIVES: To demonstrate the feasibility of a deep learning-based vascular segmentation tool for UWFA and evaluate its ability to automatically identify quality-optimized phase-specific images.
Humans Retinal Diseases Fluorescein Angiography Retinal Vessels Diabetic Retinopathy Deep Learning
View on PubMed DOI

SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image.

Computational and mathematical methods in medicine Aug 9, 2021
METHODS: A new SERR-U-Net framework for retinal vessel segmentation is proposed, which leverages technologies including Squeeze-and-Excitation (SE), residual module, and recurrent block. First, the convolution layers of encoder and decoder are modifi...
Deep Learning Retinoscopy Computational Biology Algorithms Humans Databases, Factual Neural Networks, Computer Image Interpretation, Computer-Assisted Retinal Vessels
View on PubMed DOI

Machine learning in optical coherence tomography angiography.

Experimental biology and medicine (Maywood, N.J.) Jul 19, 2021
Optical coherence tomography angiography (OCTA) offers a noninvasive label-free solution for imaging retinal vasculatures at the capillary level resolution. In principle, improved resolution implies a better chance to reveal subtle microvascular dist...
Capillaries Angiography Retinal Vessels Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence Retinal Diseases Humans
View on PubMed DOI

Densely connected U-Net retinal vessel segmentation algorithm based on multi-scale feature convolution extraction.

Medical physics Jun 16, 2021
PURPOSE: The segmentation results of retinal blood vessels have a significant impact on the automatic diagnosis of various ophthalmic diseases. In order to further improve the segmentation accuracy of retinal vessels, we propose an improved algorithm...
Neural Networks, Computer Algorithms Retinal Vessels Databases, Factual Image Processing, Computer-Assisted
View on PubMed DOI

IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation.

Computers in biology and medicine Jun 12, 2021
Accurate segmentation of medical images plays an essential role in their analysis and has a wide range of research and application values in fields of practice such as medical research, disease diagnosis, disease analysis, and auxiliary surgery. In r...
Retinal Vessels Neural Networks, Computer Lung Image Processing, Computer-Assisted Attention
View on PubMed DOI

A high resolution representation network with multi-path scale for retinal vessel segmentation.

Computer methods and programs in biomedicine Jun 4, 2021
BACKGROUND AND OBJECTIVES: Automatic retinal vessel segmentation (RVS) in fundus images is expected to be a vital step in the early image diagnosis of ophthalmologic diseases. However, it is a challenging task to detect the retinal vessel accurately ...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Retinal Vessels Fundus Oculi Optic Disk
View on PubMed DOI

A Global and Local Enhanced Residual U-Net for Accurate Retinal Vessel Segmentation.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Retinal vessel segmentation is a critical procedure towards the accurate visualization, diagnosis, early treatment, and surgery planning of ocular diseases. Recent deep learning-based approaches have achieved impressive performance in retinal vessel ...
Diagnostic Techniques, Ophthalmological Retinal Vessels Image Interpretation, Computer-Assisted Retinal Diseases Humans Algorithms Databases, Factual Deep Learning
View on PubMed DOI

Diabetic Retinopathy Fundus Image Classification and Lesions Localization System Using Deep Learning.

Sensors (Basel, Switzerland) May 26, 2021
Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-reversible damage to retina blood vessels. DR is a leading cause of blindness if not detected early. The currently available DR treatments are limited to stoppi...
Humans Retinal Vessels Diabetes Mellitus Diabetic Retinopathy Fundus Oculi Deep Learning
View on PubMed DOI

"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging.

International journal of computer assisted radiology and surgery Apr 30, 2021
PURPOSE: With the recent development of deep learning technologies, various neural networks have been proposed for fundus retinal vessel segmentation. Among them, the U-Net is regarded as one of the most successful architectures. In this work, we sta...
Neural Networks, Computer Retinal Vessels Databases, Factual Humans Fundus Oculi Deep Learning Diagnostic Imaging Retinal Diseases Image Processing, Computer-Assisted
View on PubMed DOI

A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model.

Computer methods and programs in biomedicine Apr 8, 2021
BACKGROUND AND OBJECTIVE: Automatic monitoring of retinal blood vessels proves very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This paper presents an efficient and accurate deep learning-based method for vessel ...
Image Processing, Computer-Assisted Fundus Oculi Retinal Vessels Algorithms Deep Learning Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals