dc.contributor.author | Pardo Franco, Arturo | |
dc.contributor.author | Gutiérrez Gutiérrez, José Alberto | |
dc.contributor.author | López Higuera, José Miguel | |
dc.contributor.author | Pogue, Brian Wiliam | |
dc.contributor.author | Conde Portilla, Olga María | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2021-03-04T15:42:17Z | |
dc.date.available | 2021-03-04T15:42:17Z | |
dc.date.issued | 2020-02-19 | |
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.uri | http://hdl.handle.net/10902/20857 | |
dc.description.abstract | This work proposes separating data analysis from hyperspectral enhancement or editing, providing a robust, context-independent, fully-tunable framework for biomarker-based contrast in wide-field imaging with a series of reliable properties that could enable its use in guided surgery. Some applications of this method powered by deep learning diagnostics will be discussed and shown. | es_ES |
dc.description.sponsorship | Spanish Ministry of Science, Innovation and Universities (FIS2010-19860, TEC2016-76021-C2-2-R), Spanish Ministry of Economy, Industry and Competitiveness and Instituto de Salud Carlos III (DTS17-00055, DTS15-
00238), Instituto de Investigación Valdecilla (INNVAL16/02, INNVAL18/23), Spanish Ministry of Education, Culture, and Sports (FPU16/05705). | es_ES |
dc.format.extent | 5 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | SPIE Society of Photo-Optical Instrumentation Engineers | es_ES |
dc.rights | © 2020 Society of Photo Optical Instrumentation Engineers. 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 | Proceedings of SPIE, 2020, 11222, 1122208 | es_ES |
dc.source | Molecular-Guided Surgery: Molecules, Devices, and Applications VI, San Francisco, California, 2020 | es_ES |
dc.title | Affinity-based color enhancement methods for contrast enhancement in hyperspectral and multimodal imaging | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1117/12.2546961 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.1117/12.2546961 | |
dc.type.version | publishedVersion | es_ES |