Discovering Informative Regions in Iris Images to Predict Diabetes

机译：在虹膜图像中发现信息区域以预测糖尿病

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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.

机译：替代药物可用于实现实验药物的愈合作用，也可以预测疾病并防止它们，但它们的有效性是未经证实的。虹膜学是一种替代药物，称通过观察虹膜来预测身体中的组织弱点。本文的主要目的是验证使用虹膜的使用，以预测糖尿病，为106名糖尿病患者的虹膜图像和124例健康对照进行，并评估。设计的方法是完全自动的，独立于虹膜学家。此外，开发了一种新颖的算法来通过自动找到最佳光圈区域来提高效率。结果表明，最佳环境中的精度为91.8％，显示了该方法的有效性。

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《National Conference on Biomedical Engineering;International Iranian Conference on Biomedical Engineering》|2018年|1-6|共6页
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Parsa Moradi; Naghme Nazer; Amirhosein Khas Ahmadi; Hoda Mohammadzade; Hasan Khojasteh Jafari;
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Iris; Diabetes; Feature extraction; Biomedical engineering; Transforms; Image edge detection;

机译：虹膜;糖尿病;特征提取;生物医学工程;变换;图像边缘检测;

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机译：用于识别面部图像中信息最多的区域的图像预处理
2. Learning to predict diabetes from iris image analysis [J] . U.M. Chaskar, M.S. Sutaone International journal of biomedical engineering and technology . 2012,第1期

机译：学习通过虹膜图像分析预测糖尿病
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机译：图像中信息最完整区域的描述符完整性和独特性与定位的关系
4. Discovering Informative Regions in Iris Images to Predict Diabetes [C] . Parsa Moradi, Naghme Nazer, Amirhosein Khas Ahmadi, National Iranian Conference on Biomedical Engineering . 2018

机译：在虹膜图像中发现信息区域以预测糖尿病
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Discovering Informative Regions in Iris Images to Predict Diabetes

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