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

Pardo Franco, Arturo; Gutiérrez Gutiérrez, José Alberto; López Higuera, José Miguel; Pogue, Brian Wiliam; Conde Portilla, Olga María

doi:10.1117/12.2546961

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Identificadores

URI: http://hdl.handle.net/10902/20857

DOI: 10.1117/12.2546961

ISSN: 0277-786X

ISSN: 1996-756X

Fecha

2020-02-19

Derechos

© 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.

Publicado en

Proceedings of SPIE, 2020, 11222, 1122208

Molecular-Guided Surgery: Molecules, Devices, and Applications VI, San Francisco, California, 2020

Editorial

SPIE Society of Photo-Optical Instrumentation Engineers

Enlace a la publicación

https://doi.org/10.1117/12.2546961

Resumen/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.