This thesis project concerns the analysis of hyperspectral images using artificial intelligence techniques, both machine learning and deep learning. The aim is to understand whether it is possible to distinguish healthy from diseased tissue in real time and thus support intra-operative tumor monitoring.
Intra-operative tumor segmentation using hyperspectral imaging data
SEMERARO, PIERCOSIMO
2021/2022
Abstract
This thesis project concerns the analysis of hyperspectral images using artificial intelligence techniques, both machine learning and deep learning. The aim is to understand whether it is possible to distinguish healthy from diseased tissue in real time and thus support intra-operative tumor monitoring.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/39206