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Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning

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Pattern Recognition and Image Analysis (IbPRIA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2652))

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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.

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© 2003 Springer-Verlag Berlin Heidelberg

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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

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  • DOI: https://doi.org/10.1007/978-3-540-44871-6_99

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40217-6

  • Online ISBN: 978-3-540-44871-6

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