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Abstract Hyperspectral imaging (HSI) is an emerging medical imaging modality that provides dense spatial and spectral information for tissue characterization. Despite its growing interest in surgical research, the lack of publicly available, semantically annotated hyperspectral datasets has limited the development and validation of data-driven methods for surgical tissue segmentation.
Abstract Ensuring food safety in agri-food production requires reliable inspection data for detecting foreign objects and other contamination risks. Hyperspectral imaging (HSI) is a relevant non-destructive modality for this purpose because it combines spatial information with detailed spectral responses.
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