Naslov
Dependent component analysis-based approach to robust demarcation of the skin tumors

Autori
Kopriva, Ivica ; Peršin, Antun ; Puizina-Ivić, Neira ; Mirić, Lina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings SPIE Vol. 7259 / Pluim, Josien P. W. ; Dawant, Benoit M. - Bellingham (WA) : SPIE, 2009, 72594Q-1

Skup
Medical Imaging 2009

Mjesto i datum
Orlando (FL), Sjedinjene Američke Države, 08.02.2009. - 12.02.2009

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
basal cell carcinoma; photodynamic detection; dependent component analysis; tumor demarcation; multi-spectral image

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Kliničke medicinske znanosti

POVEZANOST RADA