Model-based analysis of reflectance and fluorescence spectra for in vivo detection of cervical dysplasia and cancer

Journal of Biomedical Optics

Volumn 13, Issue 6, 2008, Pages

  Weber, Crystal Redden ^a   Schwarz, Richard A ^b   Neely Atkinson, E ^c   Cox, Dennis D ^b   Macaulay, Calum ^d   Follen, Michele ^c   Richards Kortum, Rebecca ^b  

^a RICE UNIVERSITY   (United States)

^b Rice University   (United States)

^c UNIVERSITY OF TEXAS   (United States)

^d BRITISH COLUMBIA CANCER RESEARCH CENTRE   (Canada)

Author keywords

Cancer diagnosis; Diffuse reflectance spectroscopy; Fluorescence spectroscopy

Indexed keywords

ANALYTICAL APPROACH; ANALYTICAL MODEL; CANCER DIAGNOSIS; CERVICAL CANCERS; CERVICAL DYSPLASIA; CERVICAL TISSUES; CLINICAL MEASUREMENTS; CROSS VALIDATION; DIAGNOSTIC ALGORITHMS; DIFFUSE REFLECTANCE SPECTROSCOPY; FLUORESCENCE SPECTRA; FLUOROPHORE CONCENTRATION; GOLD STANDARDS; IN-VIVO; INPUT AND OUTPUTS; INPUT PARAMETER; MODEL-BASED ANALYSIS; MONTE CARLO SIMULATION; OPTICAL TECHNOLOGY; REFLECTANCE MODEL; REFLECTANCE SIGNALS; REFLECTANCE SPECTRUM; RELATIVE CONTRIBUTION;

ALGORITHMS; DISEASES; FLUORESCENCE; FLUORESCENCE SPECTROSCOPY; FLUOROPHORES; MATHEMATICAL MODELS; MODELS; MONTE CARLO METHODS; OPTICAL PROPERTIES; REFLECTION; SIGNAL DETECTION; TISSUE;

COMPUTER SIMULATION;

TUMOR MARKER;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION STUDY; FEMALE; HUMAN; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPECTROFLUOROMETRY; STATISTICAL MODEL; UTERINE CERVIX DYSPLASIA; UTERINE CERVIX TUMOR; EVALUATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROMETRY, FLUORESCENCE; TUMOR MARKERS, BIOLOGICAL; UTERINE CERVICAL DYSPLASIA; UTERINE CERVICAL NEOPLASMS;

EID: 80055072339     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.3013307     Document Type: Article

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