Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The melanocytic skin lesion infobase, available at http://synthesis.melanoma.pl (also http://synteza.melanoma.pl, in Polish; referred to as INP) is currently undergoing a complete modification of the way in which (i) the internal synthesis algorithms and (ii) the classification of lesions are performed. We investigated 29 new real images of melanocytic skin lesions, focusing on how humans perform classification based on experience. In conclusion we suggest to add a new color – connected with the depth of a lesion – to the K term of Asymmetry (A),Border (B) and linear Combination of colors and structures (K) method (referred to as ABK).
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
391--393
Opis fizyczny
Bibliogr. 5 poz., rys., tab.
Twórcy
autor
- Faculty of Medicine, UITM, mjr. H. Sucharskiego 2, 25-225 Rzeszów, Poland
autor
- Faculty of Applied Computer Science, UITMm mjr. H. Sucharskiego 2, 25-225 Rzeszów, Poland
autor
- Faculty of Applied Computer Science, UITMm mjr. H. Sucharskiego 2, 25-225 Rzeszów, Poland
Bibliografia
- [1] Celebi M E, Wan Q, Hwang S, Iyatomi H and Schaefer G 2013 Skin Research and Technology 19 (1) 252
- [2] Celebi M E, Iyatomi H, Schaefer G and Stoecher W V 2009 Computerized Medical Imaging and Graphics 33 (2) 148
- [3] Kohavi R and John G 1997 Artificial Intelligence Journal, special issue on relevance 97 (1-2) 273
- [4] Rudnicki W R, Kierczak M, Koronacki J and Komorowski J 2006 International Conference on Rough Sets and Current Trends in Computing, Springer 557
- [5] Breiman L 2001 Machine Learning 45.1 5
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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