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
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.