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    • About Iridology Research
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Detection of Gastric Disorders through Iris Image Using the Perceptron Artificial Neural Network Method

September 30, 2020 | Abstracts

AbstractThe human eye iris has a different pattern for each human being, so it is possible to use it as a basis for biometric recognition known as iridiology. Iridiology is the study of the iris through the shape, structure, changes in color, appearance and symbols found in the eye area. The iris is composed of a layered smooth membrane... Read More

A Deep Learning Approach to Automatic Recognition of Arcus Senilis

September 30, 2020 | Abstracts

AbstractBackground:Arcus Senilis (AS) appears as a white, grey or blue ring or arc in front of the periphery of the iris, and is a symptom of abnormally high cholesterol in patients under 50 years old.Objective: This work proposes a deep learning approach to automatic recognition of AS in eye images.Material and Methods: In this analytical study, a dataset of 191 eye... Read More

An Efficient Method for Detection of Dysfunctionality in Heart through Iris Using Hybrid Method

September 30, 2020 | Abstracts

ABSTRACTMultiple organs in human body make up human organ system among which heart plays an important role for correct functioning of human body. Usually heart disease is recognized when the situation is severe or when the person is attacked by heart attack. The cost to cure the disease at this stage is high. Hence, it is important to implement... Read More

Comparison of Histogram Based Image Enhancement Methods on Iris Images

September 30, 2020 | Abstracts

AbstractIridology, which is an alternative diagnosis that links iris patterns, colour, tissue weakness, damage and other characteristics, which can obtain evidence about the patient's systemic health. Iridology can be integrated with the best technology such as computer vision for accurate identification of abnormalities in various organs of the human body. By extracting information from iris image data. Image quality... Read More

Detection of Cholesterol Levels by Analyzing Iris Patterns using Backpropagation Neural Network

September 30, 2020 | Abstracts

AbstractDetecting cholesterol levels with iridology can be an alternative method for checking human's health. Iridology analyzes diseases and weaknesses of the body based on the shape and structure of the iris. This study uses image processing to analyze patterns in the outer portion of the iris bordering the sclera. Colored iris images are converted to grayscale to facilitate image... Read More

Potential of Heart Disease Detection Based on Iridology

August 29, 2020 | Abstracts

AbstractEvery year the number of deaths caused by heart disease continues to increase. This is mostly caused by misdiagnosis or misinterpretation of the heart disease symptoms. Therefore, people need to be aware of this disease by maintaining a healthy lifestyle and conducting regular checks on the potential for heart disease. This early examination can be done using the iridology... Read More

Classification of Body Constitution Based on TCM Philosophy and Deep Learning

May 25, 2020 | Abstracts

AbstractThere is a growing demand for alternative or complementary medicine in health care disciplines that uses a non-invasive instrument to evaluate the health status of various organs inside the human body. In this regard, we proposed a real-time, non-invasive, and painless technique to assess an individual’s health condition. Our approach is based on the combination of iridology and the... Read More

Corneal arcus classification for hyperlipidemia detection using gray level co-occurrence matrix features

May 25, 2020 | Abstracts

AbstractThe arcus cornea is an eye problem that is often encountered among older people, but the situation is risky to teenagers and young people, in which it gave a sign the presence of lipid abnormalities in their blood and the risk of disease problems such as diabetes and heart disease. This paper presents the classification of the arcus cornea,... Read More

Circadian Rhythm and the Physiology and Pathology of Eye

May 25, 2020 | Abstracts

Abstract With the proposing and popularizing of the concept of “ holistic integrative medicine,” people have moved their perspective from an isolated organ to the entire human body, and from the view of whole body further explore the relationship between human body and local organs at the level of internal body and analyze the interaction between the environment and the... Read More

Current opinion neurology: visual pathway biomarkers in Alzheimer’s disease

May 25, 2020 | Abstracts

AbstractPurpose of review The incidence of Alzheimer's disease is increasing. Premortem diagnosis of Alzheimer's disease is now possible but require invasive and expensive testing such as PET amyloid beta binding and/or spinal fluid amyloid beta levels. There is a great need for minimally invasive and inexpensive biomarkers to allow for early diagnosis and intervention. Recent findings There has been a large volume... Read More

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