• DocumentCode
    2636260
  • Title

    Qualitative asymmetry measure for melanoma detection

  • Author

    D´Amico, Michele ; Ferri, Massimo ; Stanganelli, Ignazio

  • Author_Institution
    Dept. of Math., Bologna Univ., Italy
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    1155
  • Abstract
    Size functions and support vector machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry. The program is used, at clinical level, with two thresholds, so that comparison of the two outputs produces a report of low-middle-high risk. Experimental results with cross-validation are reported.
  • Keywords
    cancer; image classification; learning (artificial intelligence); medical image processing; support vector machines; tumours; melanoma lesion detection; qualitative asymmetry measure; size functions; support vector machines; Cancer; Coordinate measuring machines; Diseases; Lesions; Malignant tumors; Mathematics; Pigmentation; Shape; Support vector machine classification; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398748
  • Filename
    1398748
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2636260