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19 February 2020 Affinity-based color enhancement methods for contrast enhancement in hyperspectral and multimodal imaging
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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.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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