Bauer, Christoph, Theis, F., Baeumler, W. and Lang, Elmar W. (2003) Local Features in Biomedical Image Clusters extracted with Independent Component Analysis. In: Proceedings of the International Joint Conference on Neural Networks 2003, IJCNN 2003, Portland, Oregon, July 20 - 24, 2003. IEEE Service Center, Piscataway, NJ, pp. 81-84. ISBN 0-7803-7898-9, 0-7803-7899-7.
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Other URL: http://homepages.uni-regensburg.de/~thf11669/publications/bauer03biomedicalimageclusters_IJCNN03.pdf
Abstract
A neural network model for the identification and classification of malign and benign skin lesions from ALA-induced fluorescence images is presented. A self-organizing feature map or generative topographic mapping is used to cluster images patches according to their inherent local features which then can be extracted with ICA. These components are used to distinguish skin cancer from benign lesions achieving an average classification rate of 70% so far.
Export bibliographical data
| Item type: | Book section |
|---|---|
| Date: | 2003 |
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Projects: | Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht |
| Dewey Decimal Classification: | 500 Science > 530 Physics 500 Science > 570 Life sciences |
| Status: | Published |
| Refereed: | Yes, this version has been refereed |
| Created at the University of Regensburg: | Yes |
| Item ID: | 1572 |
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