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-dimensiona...

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書誌詳細

出版年:	Diagnostics
主要な著者:	Nicola Rossberg, Rekha Gautam, Katarzyna Komolibus, Barry O’Sullivan, Andrea Visentin
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-08-01
主題:	Explainable AI Biophotonics machine learning Tissue Classification feature selection Raman spectroscopy
オンライン･アクセス:	https://www.mdpi.com/2075-4418/15/16/2063