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Can ICA Help Classify Skin Cancer and Benign Lesions?

Mies, Ch. and Bauer, Ch. and Ackermann, G. and Bäumler, W. and Abels, C. and Puntonet, C. G. and Alvarez, M. R. and Lang, Elmar (2001) Can ICA Help Classify Skin Cancer and Benign Lesions? In: Mira, José, (ed.) Bio-inspired applications of connectionism. Proceedings / 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Granada, Spain, June 13 - 15, 2001. Part 2. Lecture notes in computer science, 2085. Springer, Berlin, pp. 328-335. ISBN 3-540-42237-4 (print und e-book).

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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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Item Type:Book Section
Date:2001
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.1007/3-540-45723-2_35DOI
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:28 Sep 2010 06:13
Last Modified:28 Sep 2010 06:13
Item ID:16851
Owner Only: item control page
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