The ROC-based analysis of spectroscopic signals from medical specimens
Articles
Vilmantas Gėgžna
Vilnius University
Olga Kurasova
Vilnius University
https://orcid.org/0000-0002-0570-1741
Gintautas Dzemyda
Vilnius University
Ruta Kurtinaitienė
Vilnius University Hospital Santaros Klinikos
Ignas Čiplys
Vilnius University
Juozas Vidmantis Vaitkus
Vilnius University
Aurelija Vaitkuvienė
Vilnius University
Published 2019-07-11
https://doi.org/10.15388/NA.2018.3.1
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Keywords

receiver operating characteristic
classification
fluorescence spectroscopy
cervical smear
cervical cancer
medical data

How to Cite

Gėgžna V., Kurasova O., Dzemyda G., Kurtinaitienė R., Čiplys I., Vaitkus J. V. and Vaitkuvienė A. (2019) “The ROC-based analysis of spectroscopic signals from medical specimens”, Nonlinear Analysis: Modelling and Control, 23(3), pp. 285-302. doi: 10.15388/NA.2018.3.1.

Abstract

Accurate methods of rapid medical diagnostics would obtain recognition among clinicians. In this paper, we present a ROC (receiver operating characteristic) analysis based approach to investigate intrinsic fluorescence spectra of medical samples. The approach provides researchers with capabilities for both spectroscopic feature selection and classification tasks. The method is illustrated using data obtained from samples of uterine cervix's tissues (normal, inflammatory, and precancerous conditions), but it is applicable for data from other types of medical specimens too. The results indicate the possibility to identify spectral ranges at which differences between various medical conditions are most evident as well as potential to apply the method for inflammation (cervicitis) vs. other medical conditions' diagnostics.

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