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ELM IMAGE PROCESSING FOR MELANOCYTIC SKIN LESION DIAGNOSIS BASED ON 7-POINT CHECKLIST: A PRELIMINARY DISCUSSION

G. Di Leo, G. Fabbrocini, C. Liguori, A. Pietrosanto, M. Sclavenzi
  • Abstract:
    Early detection of melanoma is one of the greatest challenges of dermatologic practice today. A new diagnostic method, the “ELM 7 point checklist”, defines a set of seven features, based on colour and texture parameters, which describe the malignancy of a lesion. It has been presented as faster and with the same accuracy than the traditional ABCD criteria in the diagnosis of melanoma. In this paper a preliminary step to the automated diagnosis of melanocytic skin lesions, based on ELM 7 point checklist, is proposed. In particular, an image processing methodology focussed on finding the presence of two different parameters is set-up and characterized.
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  • DOI:
    _unreg_tc4-2004.078

Event details:

  • IMEKO TC:
    TC4
  • Event name:
    TC4 Symposium 2004
  • Title:
    XIII IMEKO TC4 International Symposium on Measurements for Research and Industrial Applications (together with IXth International Workshop on ADC Modeling and Testing, IWADC)
  • Place:
    Athens, GREECE
  • Time:
    29 September 2004 - 01 October 2004