Fourier transform infrared spectroscopic imaging of colon tissues: evaluating the significance of amide I and C–H stretching bands in diagnostic applications with machine learning
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Title
Fourier transform infrared spectroscopic imaging of colon tissues: evaluating the significance of amide I and C–H stretching bands in diagnostic applications with machine learning
Authors
Keywords
Fourier transform infrared spectroscopic imaging, Colon polyps and cancer, Correcting lens approach, Machine learning, K-means clustering, Random forest supervised classification
Journal
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-08-16
DOI
10.1007/s00216-019-02069-6
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