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Proceedings Paper

Automated skin lesion segmentation with kernel density estimation
Author(s): A. Pardo; E. Real; G. Fernandez-Barreras; F. J. Madruga; J. M. López-Higuera; O. M. Conde
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Paper 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.

Paper Details

Date Published: 28 July 2017
PDF: 4 pages
Proc. SPIE 10411, Clinical and Preclinical Optical Diagnostics, 104110P (28 July 2017); doi: 10.1117/12.2283038
Show Author Affiliations
A. Pardo, Univ. de Cantabria (Spain)
E. Real, Univ. de Cantabria (Spain)
G. Fernandez-Barreras, Univ. de Cantabria (Spain)
F. J. Madruga, Univ. de Cantabria (Spain)
J. M. López-Higuera, Univ. de Cantabria (Spain)
O. M. Conde, Univ. de Cantabria (Spain)


Published in SPIE Proceedings Vol. 10411:
Clinical and Preclinical Optical Diagnostics
J. Quincy Brown; Ton G. van Leeuwen, Editor(s)

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