Verification of Iridology in Determining Dysfunctionality of Heart Through Deep-Learning
Abstract: Cardio Vascular Disease (CVD) is a condition that occurs [...]
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Abstract Computer-aided detection using Deep Learning (DL) and Machine Learning [...]
Screening and validation of the iris manifestation among patients with hemiplegia – an observational study
Abstract Objectives Understanding and validating the science behind traditional diagnostic [...]
Cholesterol Detection Through Iris Using Daugman’s and GLCM Based on K-Means Clustering
Abstract: Cholesterol is a disease that is influenced by fat [...]
Mobile Application for Cholesterol Detection Using Iridology with Image Processing and Support Vector Machine
Abstract: Cholesterol is one of the factors than can cause [...]
Diabetic Detection Using Iris Images
Abstract For clinical diagnosis, Iris image analysis is one of [...]
A Study of the Iris Characteristics of Dementia Patients Using the Askeye Iris Analysis AI Solution
Abstract: In this study, we examined medical records and the [...]
Diabetes Detection Based on Iris Abnormal
ABSTRACT Iris image analysis is one of the most effective [...]
Medical Diagnosis of Lung Diseases Using Data Mining Techniques from Iris Images: A Retrospective Controlled Study
Abstract: The study of structural and pigment changes in the [...]
Deep Learning-Based Verification of Iridology in Diagnosing Type II Diabetes Mellitus
Abstract Type II Diabetes Mellitus (Type II DM) is a [...]