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Image Recognition System for Diagnosis Support of Melanoma Skin Lesion

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Security and Intelligent Information Systems (SIIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7053))

Abstract

In this paper, computer-aided automatic system for classification of melanocytic skin lesions is described. The main goal of our research was to elaborate and to present new approach to classification of melanocytic lesions based on medical images recognition. Here, functionality, structure and operation of this approach is presented. Our approach is based on well known ABCD formula, a very popular medical method to prepare non-invasive diagnosis. Now, we present progress in development of our system and also explanation of applied approach.

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Pascal Bouvry Mieczysław A. Kłopotek Franck Leprévost Małgorzata Marciniak Agnieszka Mykowiecka Henryk Rybiński

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© 2012 Springer-Verlag Berlin Heidelberg

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Cudek, P., Paja, W., Wrzesień, M. (2012). Image Recognition System for Diagnosis Support of Melanoma Skin Lesion. In: Bouvry, P., Kłopotek, M.A., Leprévost, F., Marciniak, M., Mykowiecka, A., Rybiński, H. (eds) Security and Intelligent Information Systems. SIIS 2011. Lecture Notes in Computer Science, vol 7053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25261-7_17

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  • DOI: https://doi.org/10.1007/978-3-642-25261-7_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25260-0

  • Online ISBN: 978-3-642-25261-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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