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General Information
    • ISSN: 2010-3719 (Online)
    • Abbreviated Title: Int. J. Inf. Electron. Eng.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net

University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, The value of IJIEE will be well recognized among the readers in the related field."

IJIEE 2012 Vol.2(5): 686-690 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.188

Method for Classification of Images in the Medical Field: The Nose Case

Mehdi Louizi and Mohamed Mohsen Gammoudi

Abstract—The tools of decision support are generally very helpful in the medical field. Indeed, it provides practitioners with complementary relevant information that may confirm their work or avoid them the use of complex search operations. It is in this context that our research work allows us in the field of ENT to automatically determine whether a nose is broken or not. We will detail throughout this article the different stages of our work which led to fracture detection results that are accurate enough according to experts.

Index Terms—Component, classification of medical images, hausdorff dimension, ent, edge detection

Mehdi Louizi is now working as an assistant at ISSAT, Sousse, Tunisia (e-mail: mehdi@louzi.com)


Cite: Mehdi Louizi and Mohamed Mohsen Gammoudi, "Method for Classification of Images in the Medical Field: The Nose Case," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 686-690, 2012.

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