Probability-based differential normalized fluorescence bivariate analysis for the classification of tissue autofluorescence spectra

Applied Spectroscopy

Volumn 60, Issue 5, 2006, Pages 545-550

  Wang, Gufeng ^a   Platz, Charles P ^b   Geng, M Lei ^a  

^a University of Iowa   (United States)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

Bayes decision theory; Bivariate normal distribution; Cancer diagnosis; Differential normalized fluorescence; Laser induced fluorescence; LIF

Indexed keywords

BIVARIATE NORMAL DISTRIBUTION; CANCER DIAGNOSIS; DIFFERENTIAL NORMALIZED FLUORESCENCE; LASER-INDUCED FLUORESCENCE;

DATA ACQUISITION; DECISION THEORY; LASER BEAM EFFECTS; PROBABILITY; TISSUE; TUMORS;

FLUORESCENCE;

TUMOR MARKER;

ANALYSIS OF VARIANCE; ARTICLE; CELL CULTURE; COMPUTER ASSISTED DIAGNOSIS; HUMAN; METABOLISM; METHODOLOGY; NEOPLASM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPECTROFLUOROMETRY; STATISTICAL ANALYSIS;

ANALYSIS OF VARIANCE; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROMETRY, FLUORESCENCE; TUMOR CELLS, CULTURED; TUMOR MARKERS, BIOLOGICAL;

EID: 33646874593     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370206777412220     Document Type: Article

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