• DocumentCode
    3081677
  • Title

    Melanocytic skin lesion image classification. Part I: Recognition of skin lesion

  • Author

    Cudek, Pawel ; Grzymala-Busse, Jerzy W. ; Hippe, Zdzislaw S.

  • Author_Institution
    Univ. of Inf. Technol. & Manage., Rzeszów, Poland
  • fYear
    2010
  • fDate
    13-15 May 2010
  • Firstpage
    251
  • Lastpage
    257
  • Abstract
    This paper presents a method for automatic identification skin lesion from of a digital image. Some techniques allow the acquisition of a melanocytic skin lesion using the well-known ABCD rule.
  • Keywords
    image classification; image segmentation; medical image processing; ABCD rule; automatic identification skin lesion; digital image; image segmentation; melanocytic skin lesion acquisition; melanocytic skin lesion image classification; skin lesion recognition; Biomedical imaging; Cancer; Digital images; Image classification; Image segmentation; Lesions; Machine learning algorithms; Malignant tumors; Medical diagnostic imaging; Skin; ABCD rule; melanoma; segmentation; skin lesion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human System Interactions (HSI), 2010 3rd Conference on
  • Conference_Location
    Rzeszow
  • Print_ISBN
    978-1-4244-7560-5
  • Type

    conf

  • DOI
    10.1109/HSI.2010.5514558
  • Filename
    5514558
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3081677