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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 organ is identified by analyzing the characteristics of iris. Deep learning is one of the promising methods in diagnosing various health-related issues. In this study, an attempt has been made to verify the efficiency of the iridology in determining subjects with heart disorder using the deep learning algorithm. Iris images from 133 subjects, 50 subjects having heart issues (unhealthy) and 83 subjects with normal functioning of heart (healthy), were obtained using Cogent CIS 202 iris scanner. The proposed system used Circular Hough transform and Daugman’s rubber sheet model for iris segmentation and normalization, respectively. [...]

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. Modalities help radiologists and doctors to study the internal structure of the detected disease for retrieving the required features. ML has limitations with the present modalities due to large amounts of data, whereas DL works efficiently with any amount of data. Hence, DL is considered as the enhanced technique of ML where ML uses the learning techniques and DL acquires details on how machines should react around people. DL uses a multilayered neural network to get more information about the used datasets. This study aims to present a systematic literature review related to applications [...]

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 image was captured by Angel Kiss New 5.0MP Iridology Camera with Pro Iris Analysis Software. Lesion characters, such as open lesion, closed lesion, spot, furrow, radii solaris, intestinal crypts etc., in the iris were noted along with its various characteristics in an excel sheet in numerical order for analysis.

Results

Majority of the included patients were male (n=30) and the mean age of the patients was 46 years. The most common iris lesions noted were radii solaris and intestinal crypt in the cerebrum and cerebellum regions. Other notable lesions include open lesion, [...]