Retinal image analytics detects white matter hyperintensities in healthy adults
Sign Up to like & getrecommendations! Published in 2019 at "Annals of Clinical and Translational Neurology"
DOI: 10.1002/acn3.688
Abstract: We investigated whether an automatic retinal image analysis (ARIA) incorporating machine learning approach can identify asymptomatic older adults harboring high burden of white matter hyperintensities (WMH) using MRI as gold standard. read more here.
Keywords: retinal image; image analytics; matter hyperintensities; white matter ... See more keywords
Performance dependency of retinal image quality assessment algorithms on image resolution: analyses and solutions
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1124-5
Abstract: Retinal image quality assessment (RIQA) is the first step performed in retinal image processing systems necessary to assure that the processed images are suitable for analysis and medical diagnosis. RIQA algorithms created for controlled environments… read more here.
Keywords: resolution; quality; image; algorithms ... See more keywords
Retinal image assessment using bi-level adaptive morphological component analysis
Sign Up to like & getrecommendations! Published in 2019 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2019.07.010
Abstract: The automated analysis of retinal images is a widely researched area which can help to diagnose several diseases like diabetic retinopathy in early stages of the disease. More specifically, separation of vessels and lesions is… read more here.
Keywords: retinal images; retinal image; diabetic retinopathy; morphological component ... See more keywords
An improved arteriovenous classification method for the early diagnostics of various diseases in retinal image
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2017.01.007
Abstract: (BACKGROUND AND OBJECTIVES) Retinal artery and vein classification is an important task for the automatic computer-aided diagnosis of various eye diseases and systemic diseases. This paper presents an improved supervised artery and vein classification method… read more here.
Keywords: classification; classification method; image; various diseases ... See more keywords
Retinal image quality assessment using deep learning
Sign Up to like & getrecommendations! Published in 2018 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2018.10.004
Abstract: Poor-quality retinal images do not allow an accurate medical diagnosis, and it is inconvenient for a patient to return to a medical center to repeat the fundus photography exam. In this paper, a robust automatic… read more here.
Keywords: quality; image; image quality; quality assessment ... See more keywords
Emulated retinal image capture (ERICA) to test, train and validate processing of retinal images
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-90389-y
Abstract: High resolution retinal imaging systems, such as adaptive optics scanning laser ophthalmoscopes (AOSLO), are increasingly being used for clinical research and fundamental studies in neuroscience. These systems offer unprecedented spatial and temporal resolution of retinal… read more here.
Keywords: retinal image; image; emulated retinal; image capture ... See more keywords
Predicting subjective refraction with dynamic retinal image quality analysis
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-07786-0
Abstract: The aim of this work is to evaluate the performance of a novel algorithm that combines dynamic wavefront aberrometry data and descriptors of the retinal image quality from objective autorefractor measurements to predict subjective refraction.… read more here.
Keywords: image; retinal image; image quality; subjective refraction ... See more keywords
Enhancement of Retinal Image From Line-Scanning Ophthalmoscope Using Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930329
Abstract: A line-scanning ophthalmoscope (LSO) is a retinal imaging technique that has the characteristics of high imaging resolution, wide field of view, and high imaging speed. However, the high-speed imaging with rather short exposure time inevitably… read more here.
Keywords: resolution; scanning ophthalmoscope; retinal image; line scanning ... See more keywords
Compressive Sampling of Color Retinal Image Using Spread Spectrum Fourier Sampling and Total Variant
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3166464
Abstract: This paper proposes compressive sampling (CS) framework for color retinal image (CRI) compression, which relies on spread spectrum Fourier sampling (SSFS) and total variant (TV)-based reconstruction method with three loop of RGB color space, referred… read more here.
Keywords: color; spectrum fourier; retinal image; compressive sampling ... See more keywords
Hybrid Retinal Image Enhancement Algorithm for Diabetic Retinopathy Diagnostic Using Deep Learning Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3189374
Abstract: Diabetic Retinopathy (DR) is a prevalent acute stage of diabetes mellitus that causes vision-effecting abnormalities on the retina. This will cause blindness if not identified early. Because DR not an irreversible procedure, and only vision… read more here.
Keywords: retinal image; image enhancement; diabetic retinopathy; hybrid retinal ... See more keywords
VG-DropDNet a Robust Architecture for Blood Vessels Segmentation on Retinal Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202890
Abstract: Additional layers to the U-Net architecture leads to additional parameters and network complexity. The Visual Geometry Group (VGG) architecture with 16 backbones can overcome the problem with small convolutions. Dense Connected (DenseNet) can be used… read more here.
Keywords: blood vessels; retinal image; dropdnet; architecture ... See more keywords