Computationally Efficient Optic Nerve Head Detection in Retinal Fundus Images [PDF]
This paper presents a computationally efficient method for the detection of optic nerve head in both color fundus and fluorescein angiography images. It involves a combination of Radon transformation and multi-overlapping windows within an optimization framework in order to achieve a robust detection in the presence of various structural, color, and ...
arxiv
Objective Idiopathic intracranial hypertension (IIH) is a neurometabolic disease with an increasing incidence. The pathophysiology is unknown, but improvement of diagnosis and management requires discovery of novel biomarkers. Our objective was to identify such candidate biomarkers in IIH, and secondarily, test for associations between identified ...
Johanne Juhl Korsbæk+10 more
wiley +1 more source
Abstract Eye health has become a global health concern and attracted broad attention. Over the years, researchers have proposed many state‐of‐the‐art convolutional neural networks (CNNs) to assist ophthalmologists in diagnosing ocular diseases efficiently and precisely.
Xiaoqing Zhang+7 more
wiley +1 more source
Purpose: To develop a method to determine the volume of peripapillary hyperreflective ovoid masslike structures (PHOMS) and to examine the correlation between PHOMS and anatomic optic nerve head characteristics in a large cohort of patients with optic ...
Morten Jørgensen, MD+4 more
doaj
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation [PDF]
Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the examination of the optic nerve head (ONH). The color fundus image (CFI) is the most common modality used for ocular screening.
arxiv
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence [PDF]
The optic nerve head (ONH) typically experiences complex neural- and connective-tissue structural changes with the development and progression of glaucoma, and monitoring these changes could be critical for improved diagnosis and prognosis in the glaucoma clinic.
arxiv
The prevalence of glaucoma in a 70‐year‐old Swedish population in the city area of Gothenburg
Abstract Purpose To determine the prevalence of and risk factors for open‐angle glaucoma in a population of 70‐year‐olds in Gothenburg, Sweden and to compare the visual function between the glaucoma population and the non‐glaucoma population. Methods Of the entire cohort (n = 1203), 1182 participants responded a questionnaire on self‐reported glaucoma ...
Lena Havstam Johansson+4 more
wiley +1 more source
Dietary fatty acids and lipoproteins on progression of age-related macular degeneration [PDF]
Age-related macular degeneration (AMD) is a medical condition of central loss vision and blindness. Numerous studies have revealed that changes on certain dietary fatty acids (FAs) could have useful for AMD management.
Abia González, María del Rocío+5 more
core +3 more sources
DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images [PDF]
Given that the neural and connective tissues of the optic nerve head (ONH) exhibit complex morphological changes with the development and progression of glaucoma, their simultaneous isolation from optical coherence tomography (OCT) images may be of great interest for the clinical diagnosis and management of this pathology. A deep learning algorithm was
arxiv
A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head [PDF]
Purpose: To develop a deep learning approach to digitally-stain optical coherence tomography (OCT) images of the optic nerve head (ONH). Methods: A horizontal B-scan was acquired through the center of the ONH using OCT (Spectralis) for 1 eye of each of 100 subjects (40 normal & 60 glaucoma). All images were enhanced using adaptive compensation.
arxiv