Qualitative asymmetry measure for melanoma detection

Michele D'Amico, Massimo Ferri, Ignazio Stanganelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Pages1155-1158
Number of pages4
Volume2
Publication statusPublished - 2004
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: Apr 15 2004Apr 18 2004

Other

Other2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
CountryUnited States
CityArlington, VA
Period4/15/044/18/04

ASJC Scopus subject areas

  • Engineering(all)

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