The Impact of Chronic Liver Diseases on the Level of Heart-Type Fatty Acid-Binding Protein (H-FABP) Concentrations [PDF]
, 2009 Objectives: Heart-type fatty acid binding-protein (H-FABP) has been reported to be a potential novel biochemical marker for the early diagnosis of acute myocardial infarction (AMI). The presence of H-FABP in the liver has not been reported.
Al-Hadi, Hafidh A +2 more
core +2 more sources
Prediction of Cardiovascular Risk Factors from Retinal Fundus Images using CNNs [PDF]
arXivEarly detection of cardiovascular disease risk factors is essential to alter the course of the disease. Previous studies showed that deep learning can successfully be used to detect such risk factors from retinal images. This study uses convolutional neural networks (CNNs) to predict the cardiovascular disease risk factors age, BMI, smoking status ...
arxiv
Electroencephalogram and retinal vessels in congenital cyanotic heart disease before and after surgery. [PDF]
, 1967 E M Kohner +4 more
openalex +1 more source
Retinal Vein Passing through a Congenital Optic Nerve Pit
Journal of Ophthalmic & Vision Research, 2021 Hasan Kiziltoprak +3 more
doaj +1 more source
A better approach to diagnose retinal diseases: Combining our Segmentation-based Vascular Enhancement with deep learning features [PDF]
arXivAbnormalities in retinal fundus images may indicate certain pathologies such as diabetic retinopathy, hypertension, stroke, glaucoma, retinal macular edema, venous occlusion, and atherosclerosis, making the study and analysis of retinal images of great significance.
arxiv
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation [PDF]
arXiv, 2016 Automatic segmentation of retinal blood vessels from fundus images plays an important role in the computer aided diagnosis of retinal diseases. The task of blood vessel segmentation is challenging due to the extreme variations in morphology of the vessels against noisy background.
arxiv
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks [PDF]
arXiv, 2017 Retinal vessel segmentation is an indispensable step for automatic detection of retinal diseases with fundoscopic images. Though many approaches have been proposed, existing methods tend to miss fine vessels or allow false positives at terminal branches.
arxiv
Behcet's disease with retinal vascular lesions. [PDF]
, 1967 Rhodri Smith, Ian A. Prior, D Sturman
openalex +1 more source
Journal of Current Ophthalmology, 2019 Purpose: To investigate indocyanine green angiography (ICGA), fluorescein angiography (FA), and enhanced depth imaging optical coherence tomography measured choroidal thickness (EDI-OCT-CT) in the follow-up of inflammatory activity in stromal choroiditis
Sina Elahi +4 more
doaj