Discovering Informative Regions in Iris Images to Predict Diabetes

Discovering Informative Regions in Iris Images to Predict Diabetes Publisher

Moradi P¹ ; Nazer N¹ ; Ahmadi AK¹ ; Mohammadzade H¹ ; Jafari HK²

Show Affiliations

1. Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
2. Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran

Source: 2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering# ICBME 2018 Published:2018

Abstract

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. © 2018 IEEE.

Style	Citing Format
MLA	Moradi P, et al.. "Discovering Informative Regions in Iris Images to Predict Diabetes." 2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering# ICBME 2018, vol. , no. , 2018, pp. -.
APA	Moradi P, Nazer N, Ahmadi AK, Mohammadzade H, Jafari HK (2018). Discovering Informative Regions in Iris Images to Predict Diabetes. 2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering# ICBME 2018, (), -.
Chicago	Moradi P, Nazer N, Ahmadi AK, Mohammadzade H, Jafari HK. "Discovering Informative Regions in Iris Images to Predict Diabetes." 2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering# ICBME 2018 , no. (2018): -.
Harvard	Moradi P et al. (2018) 'Discovering Informative Regions in Iris Images to Predict Diabetes', 2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering# ICBME 2018, (), pp. -.
Vancouver	Moradi P, Nazer N, Ahmadi AK, Mohammadzade H, Jafari HK. Discovering Informative Regions in Iris Images to Predict Diabetes. 2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering# ICBME 2018. 2018;():-.
BibTex	@article{ author = {Moradi P and Nazer N and Ahmadi AK and Mohammadzade H and Jafari HK}, title = {Discovering Informative Regions in Iris Images to Predict Diabetes}, journal = {2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering# ICBME 2018}, volume = {}, number = {}, pages = {-}, year = {2018} }
RIS	TY - JOUR AU - Moradi P AU - Nazer N AU - Ahmadi AK AU - Mohammadzade H AU - Jafari HK TI - Discovering Informative Regions in Iris Images to Predict Diabetes JO - 2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering# ICBME 2018 VL - IS - SP - EP - PY - 2018 ER -

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