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Automated skin lesion segmentation with kernel density estimation

Abstract: Skin lesion segmentation is a complex step for dermoscopy pathological diagnosis. Kernel density estimation is proposed as a segmentation technique based on the statistic distribution of color intensities in the lesion and non-lesion regions.

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Autoría: Pardo A., Real E., Fernandez-Barreras G., Madruga F., López-Higuera J., Conde O.,

Congreso: European Conferences on Biomedical Optics, ECBO: Clinical and Preclinical Optical Diagnostics (2017 : Múnich)

Editorial: SPIE Society of Photo-Optical Instrumentation Engineers - The Optical Society (OSA)

Año de publicación: 2017

Nº de páginas: 4

Tipo de publicación: Comunicación a Congreso

DOI: 10.1117/12.2283038

ISSN: 1605-7422,2410-9045

Proyecto español: FIS2010-19860

Url de la publicación: https://doi.org/10.1117/12.2283038

Repositorio UCrea Leer publicación

Autoría

ARTURO PARDO FRANCO

EUSEBIO REAL PEÑA

GASPAR FERNANDEZ BARRERAS

FRANCISCO JAVIER MADRUGA SAAVEDRA

JOSE MIGUEL LOPEZ HIGUERA

OLGA MARIA CONDE PORTILLA

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