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Can ICA Help Classify Skin Cancer and Benign Lesions?

Mies, Ch. ; Bauer, Ch. ; Ackermann, G. ; Bäumler, W. ; Abels, C. ; Puntonet, C. G. ; Alvarez, M. R. ; Lang, Elmar Mira, José , eds.



Abstract

Various neural network models for the identification and classification of different skin lesions from ALA-induced fluorescence images are presented. After different image preprocessing steps, eigenimages and independent base images are extracted using PCA and ICA, respectively. In order to extract local information in the images rather than global features, Generative Topographic Mapping is ...

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