Extended Analysis of Raman Spectra Using Artificial Intelligence Techniques for Colorectal Abnormality Classification

Extended Analysis of Raman Spectra Using Artificial Intelligence Techniques for Colorectal Abnormality Classification

Raman spectroscopy (RS) techniques are attracting attention in the medical field as a promising tool for real-time biochemical analyses. The integration of artificial intelligence (AI) algorithms with RS has greatly enhanced its ability to accurately classify spectral data in vivo. This combination...

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Bibliographic Details
Main Authors: Dimitris Kalatzis, Ellas Spyratou, Maria Karnachoriti, Maria Anthi Kouri, Ioannis Stathopoulos, Nikolaos Danias, Nikolaos Arkadopoulos, Spyros Orfanoudakis, Ioannis Seimenis, Athanassios G. Kontos, Efstathios P. Efstathopoulos
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Journal of Imaging
Subjects:
Raman spectroscopy
colorectal cancer
tissue discrimination
machine learning
deep learning
Online Access:https://www.mdpi.com/2313-433X/9/12/261

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