AIMC Topic: Hypertensive Retinopathy

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Microscope-Assisted Hypertensive Retinopathy Diagnosis Using Deep Learning Models.

Microscopy research and technique Mar 24, 2025
The retina is the most crucial part of the human eye, and it can be affected due to hypertension. However, retinal abnormalities due to hypertension are termed hypertensive retinopathy (HR). A severe stage of HR can lead to complete blindness if not ...
Humans Deep Learning Image Processing, Computer-Assisted Retina Microscopy Retinal Vessels Hypertensive Retinopathy
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Severity grading of hypertensive retinopathy using hybrid deep learning architecture.

Computer methods and programs in biomedicine Jan 15, 2025
BACKGROUND AND OBJECTIVES: Hypertensive Retinopathy (HR) is a retinal manifestation resulting from persistently elevated blood pressure. Severity grading of HR is essential for patient risk stratification, effective management, progression monitoring...
Humans Artificial Intelligence Algorithms Severity of Illness Index Diagnosis, Computer-Assisted Deep Learning Hypertensive Retinopathy
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An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture.

Sensors (Basel, Switzerland) Oct 19, 2021
The stage and duration of hypertension are connected to the occurrence of Hypertensive Retinopathy (HR) of eye disease. Currently, a few computerized systems have been developed to recognize HR by using only two stages. It is difficult to define spec...
Humans Diabetic Retinopathy Deep Learning Fundus Oculi Semantics Hypertensive Retinopathy
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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre.

Nature biomedical engineering Oct 12, 2020
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs, using divers...
Humans Retrospective Studies Female Risk Factors Aged Aged, 80 and over Adult Male Middle Aged Risk Assessment Deep Learning Body Mass Index Blood Pressure Glycated Hemoglobin Cholesterol Stroke Myocardial Infarction Retina Image Interpretation, Computer-Assisted Datasets as Topic Coronary Disease Photography Retinal Vessels Hypertensive Retinopathy
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