Dependent component analysis-based approach to robust demarcation of the skin tumors (CROSBI ID 546605)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kopriva, Ivica ; Peršin, Antun ; Puizina-Ivić, Neira ; Mirić, Lina
engleski
Dependent component analysis-based approach to robust demarcation of the skin tumors
Method for robust demarcation of the basal cell carcinoma (BCC) is presented employing novel dependent component analysis (DCA)-based approach to unsupervised segmentation of the red-green-blue (RGB) fluorescent image of the BCC. It exploits spectral diversity between the BCC and the surrounding tissue. DCA represents an extension of the independent component analysis (ICA) and is necessary to account for statistical dependence induced by spectral similarity between the BCC and surrounding tissue. Robustness to intensity fluctuation is due to the scale invariance property of DCA algorithms. By comparative performance analysis with state-of-the-art image segmentation methods such as active contours (level set), K-means clustering, non-negative matrix factorization and ICA we experimentally demonstrate good performance of DCA-based BCC demarcation in demanding scenario where intensity of the fluorescent image has been varied almost two-orders of magnitude.
basal cell carcinoma; photodynamic detection; dependent component analysis; tumor demarcation; multi-spectral image
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
72594Q-1-72594Q-8.
2009.
objavljeno
Podaci o matičnoj publikaciji
Proceedings SPIE Vol. 7259
Pluim, Josien P. W. ; Dawant, Benoit M.
Bellingham (WA): SPIE
Podaci o skupu
Medical Imaging 2009
poster
08.02.2009-12.02.2009
Orlando (FL), Sjedinjene Američke Države