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Protein Sequence Textuary of Biomedical Images Based on Protein Modelization of MRI

Mohammad Reza Dawoudi and Attila Gyenesei
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Mohammad Reza Dawoudi: Salo Nursing Campus, Turku University of Applied Sciences, Finland
Attila Gyenesei: The Finnish Microarray and Sequencing Centre, Finland

Current Trends in Biomedical Engineering & Biosciences, 2017, vol. 8, issue 2, 25-27

Abstract: Serving an image as a text is one of the items on the data-base. A variety of methods could be employed. In this paper we have proposed a novel method for converting medical images into textuary formats. Through this method it is possi-ble to create protein sequences of the current biomedical medical images. This is achieved using the protein modeliza-tion of digital medical images. Protein modelization of a digital image is an arrangement for allowing numbers of pix-els values to be presented as sequences of characters. In this system every pixel values of color scale is procedure into four protein characters. One advantage of protein sequence textuary compared to other image serving methods is the browsing, retrieving and sequence blasting from database.

Keywords: juniper publishers group; juniper publishers Biomedical Engineering journals; Biomedical Engineering journals list; medical devices journals; peer reviewed Biomedical Engineering journals; open access Biomedical Engineering journals; Biomedical Engineering journals impact factor; Biomedical Engineering scientific journals; Biomedical Engineering articles; scholarly Biomedical Engineering journals; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jctbeb:v:8:y:2017:i:2:p:25-27

DOI: 10.19080/CTBEB.2017.08.555731

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