Abstract
This paper studies the viability of a skin lesion diagnosis scheme based on fluorescence images. Three kinds of skin lesions are considered: actinitic keratosis, basal cell carcinoma and psoriasis. A wide and diverse set of simple parameters have been extracted and their discrimination potential is evaluated through an automatic diagnosis scheme based on the k-nearest neighbours. We use a sequential scanning technique that automatically selects the most relevant parameters for the addressed problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ackermann, G.: Photophysikalische Grundlagen zur Fluoreszenzdiagnostik von Tumoren der Haut. PhD. Dissertation, University of Regensburg (2001)
Serra, J.: Image analysis and Mathematical Morphology. Theoretical Advances, vol. II. Academic Press, London (1988)
Zhang, Z., Stoecker, W.V., Moss, R.H.: Border Detection on Digitized Skin Tumor Images. IEEE Transactions on Medical Imaging 19(11) (2000)
IEEE Transactions on Medical Imaging: Vol 41(9) (September 1994)
Narendra, P.M., Fukunaga, K.: A branch and bound algorithm for feature subset selection. IEEE Transactions on Computers 26, 917–922 (1977)
Ros, E., Mota, S., Toro, F.J., Díaz, A.F., Fernández, F.J.: Paroxysmal Atrial Fibrillation: Automatic Diagnosis Algorithm based on not Fibrillating ECGs. In: BSI2002, pp. 251–254 (2002)
de Toro, F., Ros, E., Mota, S., Ortega, J.: Multiobjective Optimization Evolutionary Algorithms applied to Paroxismal Atrial Fibrillation diagnosis based on the k-nearest neighbours classifier. In: 8 th Iberoamerican Conference on Artificial Intelligence, Seville (November 2002) (in press)
Hand, D.: Discrimination and Classification. Wiley & Sons, New York (1981)
Mies, C., Bauer, C., Ackermann, G., Bäumler, W., Abels, C., Puntonet, C.G., Alvarez, M.R., Lang, E.W.: Can ICA Help Classify Skin Cancer and Benign Lesions? In: Mira, J., Prieto, A.G. (eds.) IWANN 2001. LNCS, vol. 2085, pp. 328–335. Springer, Heidelberg (2001)
Bauer, C.: Independent Component Analysis of Biomedical Signals. PhD. Dissertation, University of Regensburg (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ros, E. et al. (2003). Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_99
Download citation
DOI: https://doi.org/10.1007/978-3-540-44871-6_99
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40217-6
Online ISBN: 978-3-540-44871-6
eBook Packages: Springer Book Archive