Open AccessThe ROC-based analysis of spectroscopic signals from medical specimens
Author(s) -
Vilmantas Gėgžna,
Olga Kurasova,
Gintautas Dzemyda,
Rūta Kurtinaitienė,
Ignas Čiplys,
J.V. Vaitkus,
Aurelija Vaitkuvienė
Publication year - 2018
Publication title -
nonlinear analysis modelling and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.734
H-Index - 32
eISSN - 2335-8963
pISSN - 1392-5113
DOI - 10.15388/na.2018.3.1
Subject(s) - receiver operating characteristic , cervicitis , uterine cervix , feature selection , pattern recognition (psychology) , cervix , computer science , artificial intelligence , medicine , pathology , machine learning , gynecology , cancer , carcinoma
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