| dc.contributor.author | Pardo Franco, Arturo | |
| dc.contributor.author | Real Peña, Eusebio | |
| dc.contributor.author | Fernández Barreras, Gaspar | |
| dc.contributor.author | Madruga Saavedra, Francisco Javier | |
| dc.contributor.author | López Higuera, José Miguel | |
| dc.contributor.author | Conde Portilla, Olga María | |
| dc.contributor.other | Universidad de Cantabria | es_ES |
| dc.date.accessioned | 2018-03-13T13:37:27Z | |
| dc.date.available | 2018-03-13T13:37:27Z | |
| dc.date.issued | 2017 | |
| dc.identifier.isbn | 978-1-5106-1280-8 | |
| dc.identifier.isbn | 978-1-5106-1281-5 | |
| dc.identifier.issn | 0277-786X | |
| dc.identifier.issn | 1996-756X | |
| dc.identifier.other | FIS2010-19860 | es_ES |
| dc.identifier.other | TEC2016-76021-C2-2-R | es_ES |
| dc.identifier.other | DTS15/00238 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/10902/13291 | |
| dc.description.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. | es_ES |
| dc.description.sponsorship | This work is supported by the “Ministerio de Economía, Industria y Competitividad” (MINECO) under projects DA2TOI (FIS2010-19860), SENSA (TEC2016-76021-C2-2-R), the “Instituto de Salud Carlos III” (ISCIII) through projects FUSIODERM (DTS15/00238) and CIBERBBN and the co-financed by FEDER funds. | es_ES |
| dc.format.extent | 4 p. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | SPIE Society of Photo-Optical Instrumentation Engineers- | es_ES |
| dc.publisher | The Optical Society (OSA) | es_ES |
| dc.rights | Copyright 2017 Society of Photo-Optical Instrumentation Engineers and Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. | es_ES |
| dc.source | A. Pardo, E. Real, G. Fernandez-Barreras, F. Madruga, J. López-Higuera, and O. Conde, "Automated skin lesion segmentation with kernel density estimation," in European Conference on Biomedical Optics: Clinical and Preclinical Optical Diagnostics, J. Quincy Brown and Ton G. van Leeuwen, eds., Vol. 10411 of Proceedings of SPIE-OSA Biomedical Optics, 104110P, (2017) | es_ES |
| dc.subject.other | Kernel density estimation | es_ES |
| dc.subject.other | Skin lesion | es_ES |
| dc.subject.other | Melanoma | es_ES |
| dc.subject.other | Segmentation | es_ES |
| dc.title | Automated skin lesion segmentation with kernel density estimation | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.relation.publisherVersion | https://doi.org/10.1117/12.2283038 | es_ES |
| dc.rights.accessRights | openAccess | es_ES |
| dc.identifier.DOI | 10.1117/12.2283038 | |
| dc.type.version | publishedVersion | es_ES |
