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2003 | OriginalPaper | Buchkapitel

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

verfasst von : E. Ros, M. M. Rodriguez, S. Mota, J. L. Bernier, I. Rojas, C. G. Puntonet, E. W. Lang

Erschienen in: Pattern Recognition and Image Analysis

Verlag: Springer Berlin Heidelberg

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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.

Metadaten
Titel
Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning
verfasst von
E. Ros
M. M. Rodriguez
S. Mota
J. L. Bernier
I. Rojas
C. G. Puntonet
E. W. Lang
Copyright-Jahr
2003
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-44871-6_99

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