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Classification of Hyperspectral In Vivo Brain Tissue Based on Linear Unmixing
2020
Applied Sciences
Hyperspectral imaging is a multidimensional optical technique with the potential of providing fast and accurate tissue classification. The main challenge is the adequate processing of the multidimensional information usually linked to long processing times and significant computational costs, which require expensive hardware. In this study, we address the problem of tissue classification for intraoperative hyperspectral images of in vivo brain tissue. For this goal, two methodologies are
doi:10.3390/app10165686
fatcat:5yjl5c5qnbejpcrxqcoo73aule