Diagnosing skin melanoma: current versus future directions

• Autorzy: Hippe Z. S. , Bajcar S. , Blajdo P. , Grzymała-Busse J. P. , Grzymała-Busse J. W. , Knap M. , Paja W. , Wrzesień M.
• Konferencja: Databases for Science INFOBAZY 2002: 3rd National Conference (24-26 June 2002, Gdańsk-Sobieszewo, Poland)
• Języki publikacji: EN

Abstrakty

EN

A new database containing 410 cases of nevi pigmentosi, in four categories: benign nevus, blue nevus, suspicious nevus and melanoma malignant, carefully verified by histopathology, is described. The database is entirely different from the base presented previously, and can be readily used for research based on the so-called constructive induction in machine learning. To achieve this, the database features a different set of thirteen descriptive attributes, with a fourteenth additional attribute computed by applying values of the remaining thirteen attributes. In addition, a new program environment for the validation of computer-assisted diagnosis of melanoma, is briefly discussed. Finally, results are presented on determining optimal coefficients for the well-known ABCD formula, useful for melanoma diagnosis.

Słowa kluczowe

EN

melanoma; TDS; machine learning in diagnosis

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2003
• Tom: Vol. 7, No 2
• Strony: 289--293
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Hippe Z. S.

• Department of Expert Systems and Artifical Intelligence, University of Information Technology and Mangement, 2 Sucharskiego, 35-225 Rzeszów, Poland

autor

Bajcar S.

• Regional Dermatology Center, Warzywna 3, 35-310 Rzeszow, Poland

autor

Blajdo P.

• Department of Expert Systems and Artifical Intelligence, University of Information Technology and Mangement, 2 Sucharskiego, 35-225 Rzeszów, Poland

autor

Grzymała-Busse J. P.

• Department of Electrical Engineering and Computer Science, University of Kansas Lawrence, KS 66045, USA

autor

Grzymała-Busse J. W.

• Department of Electrical Engineering and Computer Science, University of Kansas Lawrence, KS 66045, USA

autor

Knap M.

• Department of Expert Systems and Artifical Intelligence, University of Information Technology and Mangement, 2 Sucharskiego, 35-225 Rzeszów, Poland

autor

Paja W.

• Department of Expert Systems and Artifical Intelligence, University of Information Technology and Mangement, 2 Sucharskiego, 35-225 Rzeszów, Poland

autor

Wrzesień M.

• Department of Expert Systems and Artifical Intelligence, University of Information Technology and Mangement, 2 Sucharskiego, 35-225 Rzeszów, Poland

• Department of Expert Systems and Artifical Intelligence, University of Information Technology and Mangement, 2 Sucharskiego, 35-225 Rzeszów, Poland,

Bibliografia

• [1] Hippe Z S 1999 Proc. “INFOBAZY’99 - Databases for Science”, TASK Computer Center in Gdansk, Poland, pp. 120-124
• [2] Hippe Z S 1999 TASK Quart. 3 (4) 483
• [3] Riegel D S, Friedman R J, Kopf A. Weltman R. Prideau P G, Safai B, Lebwohl M G, Elizeri Y, Torre D P and Bonford T T 1986 .J. Am. Acad. Dermatol 14 857
• [4] Bajcar S and Hippe Z S 1999 Proc. Telemedicine Conference, Lodz, Poland, pp. 175-178
• [5] Braun-Falco O, Stolz W, Bilek P, Merkle T and Landthaler M 1990 Hautartzt 40 131
• [6] Hippe Z S, Grzymala-Busse J W, Bajcar S, Blajdo P, Knap M, Paja W and Wrzesień M 2002 Proc. “INFOBAZY’2002 - Databases for Science”, TASK Computer Center in Gdansk, Poland, pp. 51-55 (in Polish)
• [7] Michalski R. S, Bratko I and Kubat M 1998 Machine Learning and Data Mining. Methods and Applications, John Wiley and Sons LTD., Chichester
• [8] Hippe Z S and et a I. 2001 Research on Methods of Computer-aided Diagnosis of Melanocytic Lesions and Melanoma, Research Report, Grant KBN no. 7 T11E 030 21, Poland (in Polish)
• [9] Weiss S and Kulikowski C A 1991 Computer Systems that Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems, Morgan Kaufmann Publishers Inc., San Francisco, CA, pp. 17-49
• [10] Grzymala-Busse J P, Grzymala-Busse J W and Hippe Z S 2001 Proc. 25th Anniversary Annual International Computer Software and Applications Conference COMPS AC 2001, Chicago, IL, pp. 615-620
• [11] Grzymala-Busse J W, Hippe Z 2002 Rough Sets and Current Trends in Computing (Alpigini J J, Peters J F, Skowron A and Zhong N, Eds.), Springer-Verlag, Heidelberg, pp. 538-545