Abstract Iridology is the science and practice that helps to learn the health status through the examination of the structural aspects of an eye. Iris segmentation is an important phase in Iridology that aids to recognize iris signs and identify aberrant organ activity. The primary elements of iris segmentation are the detections of the iris and pupil. However, iris segmentation is greatly... Read More

ABSTRACT Cardiovascular diseases have proven to be the leading reason of death worldwide. To identify cardiovascular diseases at an early stage, often very expensive pathological tests are required. A less costly alternative method for determining the conditions of the organs is highly appreciated, and Iridology is one such popular method. Many researchers have proposed cardiovascular disease identification systems by combining Iridology... Read More

Abstract PURPOSE: The research proposal is to evaluate the association between certain irian signs and general pathology of studied patients. METHOD: There were studied 57 hospitalized patients; there was taken over all their iris images, which were analyzed through iridological protocols; in the same time the pathology of these patients was noted from their records in the hospital, concordant with the... Read More

Abstract Iridoscopy was carried out in 40 patients with rosacea and seborrheic dermatitis in order to detect visceral abnormalities. Various gastrointestinal diseases were revealed in 32, vascular and neuropsychic disorders in 16, and renal or pancreatic shifts in 5 patients. Austhours Fedorovskaia RF, Alekseev VF, Masiukova SA, Kas'ianenko VI, Danilova AA, Mkhitar'ian AG Vestnik Dermatologii i Venerologii, 01 Jan 1990, (1):38-41Language:rusPMID: 2139291  Source: http://europepmc.org/article/MED/2139291 Read More

An older interesting abstract from 1989 that was not previously found in database. Abstract The state of the iris has been studied in 817 persons, of them in 150 workers of oil-industry, in eye office conditions. Iridodiagnostics was performed in one and the same person using two methods: with the help of a slit lamp "SL-56" and a magnifying glass. For topic... Read More

Abstract Iridology is the study of the iris of the eye to detect the conditions of the body and its organs, genetic strengths and weaknesses, etc. Although iridology is not widely used as a scientific tool for healthcare professionals to get to the source of people's health conditions, it has been used as a supplementary source to help the diagnosis of... Read More

Abstract: Cardio Vascular Disease (CVD) is a condition that occurs due to heart failure. CVD is one of the significant causes of life loss. If CVD left untreated, it may result in multiple organ failures. Iridology, a class of Complementary and Alternative Medicine, and a non-invasive diagnosing method, has the ability to determine the dysfunctional organ in human. In iridology dysfunctional... Read More

Abstract Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows tremendous growth in the medical field. Medical images are considered as the actual origin of appropriate information required for diagnosis of disease. Detection of disease at the initial stage, using various modalities, is one of the most important factors to decrease mortality rate occurring due to cancer and tumors.... Read More

Abstract Objectives Understanding and validating the science behind traditional diagnostic methods is a niche area to be explored. Iris diagnosis is one such valuable diagnostic tool used in Naturopathy. In the current study, we have assessed and documented the iris changes observed among patients with hemiplegia with respect to the iridology chart. Methods We recruited 35 patients with hemiplegia which includes both genders. Iris... Read More

Abstract: Cholesterol is a disease that is influenced by fat deposits originating from the liver. Detection of cholesterol disease can be known through blood tests, urine checks and visually the iris of the human eye. Cholesterol detection through the iris can be implemented using image processing techniques, especially in image segmentation. Input-based image segmentation on feature extraction and pattern classification... Read More