Robust classification of low-grade cervical cytology following analysis with ATR-FTIR spectroscopy and subsequent application of self-learning classifier eClass

Analytical and Bioanalytical Chemistry

Volumn 398, Issue 5, 2010, Pages 2191-2201

  Kelly, Jemma G ^a   Angelov, Plamen P ^a,b   Trevisan, Júlio ^a,b   Vlachopoulou, Anastasia ^d   Paraskevaidis, Evangelos ^d   Martin Hirsch, Pierre L ^c   Martin, Francis L ^a  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b LANCASTER UNIVERSITY   (United Kingdom)

^c LANCASHIRE TEACHING HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

^d UNIVERSITY HOSPITAL OF IOANNINA   (Greece)

Author keywords

ATR FTIR spectroscopy; Cancer screening; eClass; Exfoliative cervical cytology; Fuzzy; Prediction

Indexed keywords

ATR-FT-IR SPECTROSCOPY; CANCER SCREENING; ECLASS; EXFOLIATIVE CERVICAL CYTOLOGY; FUZZY; PREDICTION;

CELLS; CLASSIFIERS; CYTOLOGY; FOURIER TRANSFORM INFRARED SPECTROSCOPY; NEURAL NETWORKS; SPECTRUM ANALYSIS;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; ARTICLE; CANCER STAGING; FEMALE; HUMAN; INFRARED SPECTROSCOPY; INSTRUMENTATION; METHODOLOGY; PATHOLOGY; PATHOPHYSIOLOGY; PREDICTIVE VALUE; UTERINE CERVIX TUMOR;

ALGORITHMS; FEMALE; HUMANS; NEOPLASM STAGING; PREDICTIVE VALUE OF TESTS; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; UTERINE CERVICAL NEOPLASMS;

EID: 78049345231     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-010-4179-5     Document Type: Article

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