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Proceedings Paper

Affinity-based color enhancement methods for contrast enhancement in hyperspectral and multimodal imaging
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Paper 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.

Paper Details

Date Published: 19 February 2020
PDF: 5 pages
Proc. SPIE 11222, Molecular-Guided Surgery: Molecules, Devices, and Applications VI, 1122208 (19 February 2020); doi: 10.1117/12.2546961
Show Author Affiliations
Arturo Pardo, Univ. de Cantabria (Spain)
Instituto de Investigación Valdecilla (Spain)
José A. Gutiérrez-Gutiérrez, Univ. de Cantabria (Spain)
Instituto de Investigación Valdecilla (Spain)
José M. López-Higuera, Univ. de Cantabria (Spain)
Instituto de Investigación Valdecilla (Spain)
CIBER-BBN (Spain)
Brian W. Pogue, Dartmouth College (United States)
Olga M. Conde, Univ. de Cantabria (Spain)
Instituto de Investigación Valdecilla (Spain)
CIBER-BBN (Spain)


Published in SPIE Proceedings Vol. 11222:
Molecular-Guided Surgery: Molecules, Devices, and Applications VI
Sylvain Gioux; Summer L. Gibbs; Brian W. Pogue, Editor(s)

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