High-sensitivity and specificity of laser-induced autofluorescence spectra for detection of colorectal cancer with an artificial neural network

Applied Optics

Volumn 44, Issue 19, 2005, Pages 4004-4008

  Kwek, L C ^a   Fu, Sheng ^a   Chia, T C ^a   Diong, C H ^a   Tang, C L ^b   Krishnan, S M ^c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b SINGAPORE GENERAL HOSPITAL   (Singapore)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DIAGNOSIS; ERRORS; FLUORESCENCE; INTELLIGENT AGENTS; LASER APPLICATIONS; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); SENSITIVITY ANALYSIS; TUMORS;

COLORECTAL CANCER; INTELLIGENT SYSTEMS; LASER-INDUCED AUTOFLUORESCENCE (LIAF); STANDARD ERRORS;

SPECTRUM ANALYSIS;

DIAGNOSTIC AGENT; TUMOR MARKER;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLINICAL TRIAL; COLORECTAL TUMOR; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; HUMAN; LASER; METABOLISM; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPECTROFLUOROMETRY; VALIDATION STUDY;

ALGORITHMS; COLORECTAL NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; LASERS; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROMETRY, FLUORESCENCE; TUMOR MARKERS, BIOLOGICAL;

EID: 22144444523     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.44.004004     Document Type: Article

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