Explainable AI-Based Feature Selection Approaches for Raman Spectroscopy

<b>Background</b>: Raman Spectroscopy is a non-invasive technique capable of characterising tissue constituents and detecting conditions such as cancer with high accuracy. Machine learning techniques can automate this task and discover relevant data patterns. However, the high-dimensional, multicoll...

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Autores principales:	Nicola Rossberg, Rekha Gautam, Katarzyna Komolibus, Barry O’Sullivan, Andrea Visentin
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-08-01
Colección:	Diagnostics
Materias:	Explainable AI Biophotonics machine learning Tissue Classification feature selection Raman spectroscopy
Acceso en línea:	https://www.mdpi.com/2075-4418/15/16/2063
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