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Ines A. Cruz-Guerrero, Raquel Leon, Daniel U. Campos-Delgado, Samuel Ortega, Himar Fabelo and Gustavo M. Callico
This paper describes the application of linear unmixing to classify intraoperative hyperspectral images of in vivo brain tissue with a reduced computational cost compared to a machine learning approach without compromising precision.
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