Towards machine learning-based quantitative hyperspectral image guidance for brain tumor resection
David Black,
Declan Byrne,
Anna Walke
et al.
Abstract:Background
Complete resection of malignant gliomas is hampered by the difficulty in distinguishing tumor cells at the infiltration zone. Fluorescence guidance with 5-ALA assists in reaching this goal. Using hyperspectral imaging, previous work characterized five fluorophores’ emission spectra in most human brain tumors.
Methods
In this paper, the effectiveness of these five spectra was explored for different tumor and tissue classification tasks in… Show more
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