发现虹膜图像中的信息区域以预测糖尿病

Parsa Moradi, Naghme Nazer, A. K. Ahmadi, H. Mohammadzade, Hasan Khojasteh Jafari
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引用次数: 1

摘要

替代医学可以达到实验医学的治疗效果,也可以预测和预防疾病,但其有效性尚未得到证实。虹膜学是一种替代医学,声称通过观察虹膜来预测身体组织的弱点。本文的主要目的是验证虹膜学在糖尿病预测中的应用,对106例糖尿病患者和124例健康对照进行了虹膜图像采集和评价。设计的方法是完全自动的,独立于虹膜学家。提出了一种自动寻找虹膜最佳区域的算法,提高了算法的效率。结果表明,在最佳设置下,该方法的准确率为91.8%,表明了该方法的有效性。
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Discovering Informative Regions in Iris Images to Predict Diabetes
Alternative medicine can be used to achieve the healing effects of the experimental medicine, it also can predict diseases and prevent them, but validity of them is unproven. Iridology is an alternative medicine that claims to predict tissue weaknesses in the body by looking at the iris. The main object of this paper is to validate the using of iridology to predict diabetes, to do so iris images of 106 diabetic patients and 124 healthy controls were obtained and evaluated. The designed method is completely automatic and independent of iridologists. Also a novel algorithm is developed to improve the efficiency by finding the best region of iris automatically. The results showed the accuracy of 91.8% in the best setting, which shows the effectiveness of the proposed method.
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