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

Congress: European Conference on Biomedical Optics: ECBO (2017 : Múnich)

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

Year of publication: 2017

No. of pages: 4

Publication type: Conference object

DOI: 10.1117/12.2283038

ISSN: 0277-786X,1996-756X

Spanish project: FIS2010-19860

Publication Url: https://doi.org/10.1117/12.2283038

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Authorship

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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