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We suspect that the signal decomposition approach adopted for the purpose of this study (and thus the signal components such as Y, Q, V) and use of averaged quantities contains this type of information. ˙ nska and Ana AlekAcknowledgements. The authors would like to thank dr. E. Zabi´ seenko from the Dermatology Clinic of the Jagiellonian University for enlightning discussion and help with preparation of the medical data. This work has been supported by research grant from the Jagiellonian University.
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Postprocessing of rule sets induced from a melanoma data set. In: Proc. Computer Software and Applications Conference, COMPSAC 2002, pp. 1146–1151 (2002) 16. : Computer Screening for Early Detection of Melanoma: Is there a Future? British J. Dermatol. 132, 325–328 (1995) 17. : The Elements of Statistical Learning. Springer Series in Statistics. Springer, Heidelberg (2001) 18. : An Internet-based Melanoma Diagnostic System - Toward the Practical Application 19. : Dermoscopy: Alternative Melanocytic Algorithms - The ABCD Rule of Dermatoscopy, Menzies Scoring Method, and 7-Point Checklist, Clinics in Dermatology (Elsevier), vol.