The ability of combining near-infrared (NIR) Raman spectroscopy with support vector
machines (SVM) for improving multi-class classification between different histopathological …

This study aims to detect colorectal cancer with near-infrared Raman spectroscopy and
feature selection techniques. A total of 306 Raman spectra of colorectal cancer tissues and …

The purpose of this study is to apply near-infrared (NIR) Raman spectroscopy and
classification and regression tree (CART) techniques for identifying molecular changes of …

Objective: The objective of this study was to evaluate the applicability of the discrimination
parameters Mahalanobis distance, spectral residuals, and limit tests, developed by this …

This paper attempts to investigate the feasibility of using Raman spectroscopy for the
diagnosis of colon cancer. Serum taken from 75 healthy volunteers, 65 colon cancer patients …

Background: Near-infrared Raman spectroscopy is a promising optical technique for GI
tissue diagnosis. This study assessed the diagnostic potential of near-infrared Raman …

Raman spectroscopy is structure sensitive non‐destructive method that allows observing the
status of biological tissues with minimal impact. This method has a great potential in the …

Raman spectroscopy has been recognised as a valuable analytical tool in biological and
medical research. This technique allows probing molecular vibrations of samples without …

The use of near‐infrared Raman spectroscopy to interrogate epithelial tissue biochemistry
and hence distinguish between normal and abnormal tissues was investigated. Six different …

Raman spectra of human colorectal tissue samples were employed to diagnose colorectal
cancer. High‐quality Raman spectra were acquired from normal and cancerous colorectal …