Fluorescence spectral imaging for characterization of tissue based on multivariate statistical analysis

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 19, Issue 9, 2002, Pages 1823-1831

  Qu, Jianan Y ^a   Chang, Hanpeng ^b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b INSTITUTE OF OPTICS AND ELECTRONICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FLUORESCENCE; OPTICAL FILTERS; SPURIOUS SIGNAL NOISE; TISSUE;

AUTOFLUORESCENCE SPECTRA;

IMAGING TECHNIQUES;

ALGORITHM; ARTICLE; COMPUTER SIMULATION; HUMAN; NASOPHARYNX TUMOR; PRINCIPAL COMPONENT ANALYSIS; SPECTROFLUOROMETRY; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; MODELS, THEORETICAL; NASOPHARYNGEAL NEOPLASMS; PRINCIPAL COMPONENT ANALYSIS; SPECTROMETRY, FLUORESCENCE;

EID: 0036717597     PISSN: 10847529     EISSN: None     Source Type: Journal    
DOI: 10.1364/JOSAA.19.001823     Document Type: Article

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