Automated skin lesion segmentation with kernel density estimation

A. Pardo; E. Real; G. Fernandez-Barreras; F. J. Madruga; J. M. López-Higuera; O. M. Conde

doi:10.1117/12.2283038

28 July 2017 Automated skin lesion segmentation with kernel density estimation

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

Proceedings Volume 10411, Clinical and Preclinical Optical Diagnostics; 104110P (2017) https://doi.org/10.1117/12.2283038
Event: European Conferences on Biomedical Optics, 2017, Munich, Germany

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.

Citation Download Citation

A. Pardo, E. Real, G. Fernandez-Barreras, F. J. Madruga, J. M. López-Higuera, and O. M. Conde "Automated skin lesion segmentation with kernel density estimation", Proc. SPIE 10411, Clinical and Preclinical Optical Diagnostics, 104110P (28 July 2017); https://doi.org/10.1117/12.2283038

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