An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis

An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis

Abstract Raman spectroscopy shows great potential as a diagnostic tool for thyroid cancer due to its ability to detect biochemical changes during cancer development. This technique is particularly valuable because it is non-invasive and label/dye-free. Compared to molecular tests, Raman spectroscopy...

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Bibliographic Details
Main Authors: Loredana Bellantuono, Raffaele Tommasi, Ester Pantaleo, Martina Verri, Nicola Amoroso, Pierfilippo Crucitti, Michael Di Gioacchino, Filippo Longo, Alfonso Monaco, Anda Mihaela Naciu, Andrea Palermo, Chiara Taffon, Sabina Tangaro, Anna Crescenzi, Armida Sodo, Roberto Bellotti
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-43856-7

Internet

https://doi.org/10.1038/s41598-023-43856-7

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