@conference{10902/20857,
year = {2020},
month = {2},
url = {http://hdl.handle.net/10902/20857},
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.},
organization = {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).},
publisher = {SPIE Society of Photo-Optical Instrumentation Engineers},
publisher = {Proceedings of SPIE, 2020, 11222, 1122208},
publisher = {Molecular-Guided Surgery: Molecules, Devices, and Applications VI, San Francisco, California, 2020},
title = {Affinity-based color enhancement methods for contrast enhancement in hyperspectral and multimodal imaging},
author = {Pardo Franco, Arturo and Gutiérrez Gutiérrez, José Alberto and López Higuera, José Miguel and Pogue, Brian Wiliam and Conde Portilla, Olga María},
}