@inproceedings{554f84bc4116451ca2a6daad2db91217,
title = "Classification of skin lesions by fluorescence diagnosis and independent component analysis",
abstract = "We develop an approach to automatically classify images of malignant and benign skin lesions obtained by Photodynamic Diagnosis. Our method does not use plain fluorescence intensity levels but relies on discriminative intensity patterns. Therefore a set of characteristic filter vectors is created for each class by independent component analysis. The results of the filtering process are fed into a supervised neural classifier. The classification results are promising. But further experiments with an increased data set taken under standardized image recording conditions seem necessary to yield still better classification rates.",
keywords = "Fluorescence diagnosis, Independent component analysis, Neural networks, Skin lesions",
author = "Stockmeier, {H. G.} and W. B{\"a}umler and Szeimies, {R. M.} and Theis, {F. J.} and Lang, {E. W.} and Puntonet, {C. G.}",
year = "2004",
language = "English",
isbn = "0889863792",
series = "Proceedings of the IASTED International Conference on Biomedical Engineering",
pages = "201--204",
editor = "B. Tilg",
booktitle = "Proceedings of the IASTED International Conference on Biomedical Engineering",
note = "Proceedings of the IASTED International Conference on Biomedical Engineering ; Conference date: 16-02-2004 Through 18-02-2004",
}