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

Arturo Pardo; José A. Gutiérrez-Gutiérrez; José M. López-Higuera; Brian W. Pogue; Olga M. Conde

doi:10.1117/12.2546961

19 February 2020 Affinity-based color enhancement methods for contrast enhancement in hyperspectral and multimodal imaging

Arturo Pardo, José A. Gutiérrez-Gutiérrez, José M. López-Higuera, Brian W. Pogue, Olga M. Conde

Author Affiliations +

Proceedings Volume 11222, Molecular-Guided Surgery: Molecules, Devices, and Applications VI; 1122208 (2020) https://doi.org/10.1117/12.2546961
Event: SPIE BiOS, 2020, San Francisco, California, United States

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.

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Arturo Pardo, José A. Gutiérrez-Gutiérrez, José M. López-Higuera, Brian W. Pogue, and Olga M. Conde "Affinity-based color enhancement methods for contrast enhancement in hyperspectral and multimodal imaging", Proc. SPIE 11222, Molecular-Guided Surgery: Molecules, Devices, and Applications VI, 1122208 (19 February 2020); https://doi.org/10.1117/12.2546961

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