DENTIFICATION OF CORONARY ARTERY DISEASE THROUGH IRIS BY USING CONVOLUTION NEURAL NETWORKS
ABSTRACT Now-a-days, coronary heart disease is one of the deadliest [...]
Prediction of Coronary Artery Disease from Iris Images Using Local Binary Patterns and Artificial Neural Network
Abstract Coronary Artery Disease (CAD) is a heart disease that [...]
Screening and validation of the iris manifestation among patients with hemiplegia – an observational study
Abstract Objectives Understanding and validating the science behind traditional diagnostic [...]
Pupillary Assessment for the Detection of Ischemic Stroke: Analysis of Multiform Pupil Shapes Using Bexel Irina Software
Abstract Ischemic strokes, which occur when blood flow to the [...]
A Deep Learning Approach for Kidney Disease Recognition and Prediction through Image Processing
Abstract Chronic kidney disease (CKD) is a gradual decline in [...]
Diabetes and heart disease identification using biomedical iris data
Abstract The World Health Organization (WHO) report shows that Heart [...]
Prediction of Coronary Artery Disease Using Machine Learning Techniques with Iris Analysis
Abstract Coronary Artery Disease (CAD) occurs when the coronary vessels [...]
Psychophysiological analysis of iridological markers of individuality
INTRODUCTION Chapter 1. PSYCHO-PHYSIOLOGICAL PROBLEMS IRIDODIAGNOSTICS (REVIEW OF LITERATURE). 1.1. [...]
Iridodiagnosis in diseases of the hepatobiliary system and kidneys
Abstract Overall fifty patients with chronic hepatitis and 50 patients [...]
Red-Channel Based Iris Segmentation for Pupil Detection
Abstract Iridology is the science and practice that helps to [...]