Analysis of biomedical spectra and images : from data to diagnosis

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DOIResolve DOI: http://doi.org/10.1016/S0166-1280(00)00449-8
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TypeArticle
Journal titleJournal of Molecular Structure: THEOCHEM
Volume500
Issue1-3
Pages129138; # of pages: 10
SubjectInfrared spectroscopy; Cervical cancer; Multivariate analysis; Pattern recognition; Clustering; Cardiac ischemia
AbstractWhile it is now clear that both infrared spectroscopy and spectroscopic imaging can play roles in providing medically relevant information, the raw spectral or imaging measurement seldom reveals directly the property of clinical interest (i.e. is this tissue cancerous? What is the blood glucose concentration? Is tissue perfusion adequate?) Instead, pattern recognition algorithms, clustering methods, regression, and other theoretical methods provide the means to distill diagnostic information from the original measurements. This article discusses the role of these approaches in the discovery of diagnostically relevant spectral and spatial patterns.
Publication date
PublisherElsevier Science B.V.
AffiliationNRC Institute for Biodiagnostics; National Research Council Canada
Peer reviewedYes
NRC number1828
NPARC number9148252
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Record identifierb49a5f4a-a85d-4a5c-8729-3bf18beafb34
Record created2009-06-25
Record modified2016-10-05
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