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مقاله
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Abstract
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Title:
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Retinal Identification Based on Density Clustering and Fuzzy Logic and Connecting This information to Electronic Health Record
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Author(s):
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Mohammad hosein Ahour,Ebrahim Parcham, rana sorkhabi
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Presentation Type:
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Oral
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Subject:
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Posterior Segment and Uveitis
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Others:
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Presenting Author:
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Name:
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Mohammad hosein Ahour
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Affiliation :(optional)
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Assistant Prof. of Ophthalmology
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E mail:
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mh.Ahoor@gmail.com
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Phone:
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4770545
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Mobile:
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09143112191
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Purpose:
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The identification of individuals using the retinal image
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Methods:
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The extraction of blood vessels
based on density classification and identification is carried out according to the Fuzzy logic and then
according to the performed operations of individual’s electronic health record
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Results:
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we presented a new combination approach for extracting the blood vessels by
removing the noises through the density method and extracting the vessels through an adaptive
filter. After the blood vessels extraction, they are saved in the medical file and finally the patient
identification is done through the Fuzzy method, according to the retina
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Conclusion:
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The results indicate the
strength of the proposed method from the vessel extraction accuracy and patient identification
points of view.
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Attachment:
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