Results 21 to 30 of about 188,294 (288)

Automated retinal lesion detection via image saliency analysis [PDF]

Medical Physics, 2019
Background and objectiveThe detection of abnormalities such as lesions or leakage from retinal images is an important health informatics task for automated early diagnosis of diabetic and malarial retinopathy or other eye diseases, in order to prevent blindness and common systematic conditions.
Yan, Q, Zhao, Y, Zheng, Y, Liu, Y, Zhou, K, Frangi, A, Liu, J   +6 more
openaire   +5 more sources

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review

IEEE Access, 2019
This paper presents a comprehensive review of the principle and application of deep learning in retinal image analysis. Many eye diseases often lead to blindness in the absence of proper clinical diagnosis and medical treatment.
Toufique Ahmed Soomro, Ahmed J. Afifi, Lihong Zheng, Shafiullah Soomro, Junbin Gao, Olaf Hellwich, Manoranjan Paul   +6 more
doaj   +1 more source

Detection and Segmentation of Retinal Lesions in Retcam 3 Images Based on Active Contours Driven by Statistical Local Features

Advances in Electrical and Electronic Engineering, 2019
Clinical retinal image analysis is an import aspect of clinical diagnosis in ophthalmology. Retinopathy of Prematurity (ROP) represents one of the most severe retinal disorders in prematurely born infants. One of the ROP clinical signs is the presence of
Jan Kubicek, Juraj Timkovic, Marek Penhaker, David Oczka, Veronika Kovarova, Alice Krestanova, Martin Augustynek, Martin Cerny   +7 more
doaj   +1 more source

The impact of the image conversion factor and image centration on retinal vessel geometric characteristics

Frontiers in Medicine, 2023
BackgroundThis study aims to use fundus image material from a long-term retinopathy follow-up study to identify problems created by changing imaging modalities or imaging settings (e.g., image centering, resolution, viewing angle, illumination wavelength)
Carolin Schanner, Carolin Schanner, Carolin Schanner, Nina Hautala, Nina Hautala, Franziska G. Rauscher, Aura Falck, Aura Falck   +7 more
doaj   +1 more source

A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry [PDF]

, 2017
Demographic studies suggest that changes in the retinal vasculature geometry, especially in vessel width, are associated with the incidence or progression of eye-related or systemic diseases. To date, the main information source for width estimation from
Bharath, Anil Anthony, Uslu, Fatmatulzehra   +1 more
core   +2 more sources

Automatic analysis of normative retinal oximetry images

PLOS ONE, 2020
Retinal oximetry is an important screening tool for early detection of retinal pathologies due to changes in the vasculature and also serves as a useful indicator of human-body-wide vascular abnormalities. We present an automatic technique for the measurement of oxygen saturation in retinal arterioles and venules using dual-wavelength retinal oximetry ...
J. R. Harish Kumar, Chandra Sekhar Seelamantula, Ashwin Mohan, Rohit Shetty, T. J. M. Berendschot, Carroll A. B. Webers   +5 more
openaire   +5 more sources

Reliable and stable fundus image registration based on brain-inspired spatially-varying adaptive pyramid context aggregation network

Frontiers in Neuroscience, 2023
The task of fundus image registration aims to find matching keypoints between an image pair. Traditional methods detect the keypoint by hand-designed features, which fail to cope with complex application scenarios.
Jie Xu, Kang Yang, Youxin Chen, Liming Dai, Dongdong Zhang, Ping Shuai, Ping Shuai, Rongjie Shi, Zhanbo Yang   +8 more
doaj   +1 more source

Segmentation of retinal blood vessels for detection of diabetic retinopathy: A review

Communications in Science and Technology, 2016
Diabetic detinopathy (DR) is effect of diabetes mellitus to the human vision that is the major cause of blindness. Early diagnosis of DR is an important requirement in diabetes treatment.
Rezty Amalia Aras, Tri Lestari, Hanung Adi Nugroho, Igi Ardiyanto   +3 more
doaj   +1 more source

Leveraging the Generalization Ability of Deep Convolutional Neural Networks for Improving Classifiers for Color Fundus Photographs

Applied Sciences, 2021
Deep learning demands a large amount of annotated data, and the annotation task is often crowdsourced for economic efficiency. When the annotation task is delegated to non-experts, the dataset may contain data with inaccurate labels.
Jaemin Son, Jaeyoung Kim, Seo Taek Kong, Kyu-Hwan Jung   +3 more
doaj   +1 more source

Suboptimal eye movements for seeing fine details. [PDF]

, 2018
Human eyes are never stable, even during attempts of maintaining gaze on a visual target. Considering transient response characteristics of retinal ganglion cells, a certain amount of motion of the eyes is required to efficiently encode information and ...
Agaoglu, Mehmet N, Chung, Susana TL, Roorda, Austin, Sheehy, Christy K, Tiruveedhula, Pavan   +4 more
core   +1 more source