Principal component analysis and artificial neural network analysis of oral tissue fluorescence spectra: Classification of normal premalignant and malignant pathological conditions

Biopolymers

Volumn 82, Issue 2, 2006, Pages 152-166

  Nayak, G S ^a   Kamath, Sudha ^b   Pai, Keerthilatha M ^c   Sarkar, Arindam ^c   Ray, Satadru ^b   Kurien, Jacob ^b   D'Almeida, Lawrence ^a   Krishnanand, B R ^b   Santhosh, C ^b   Kartha, V B ^b   Mahato, K K ^b  

^a MANIPAL INSTITUTE OF TECHNOLOGY   (India)

^b KASTURBA MEDICAL COLLEGE   (India)

^c MANIPAL COLLEGE OF DENTAL SCIENCES   (India)

Author keywords

Artificial neural network; Laser induced fluorescence; Oral tissue; Principal component analysis

Indexed keywords

CLASSIFICATION (OF INFORMATION); FLUORESCENCE; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; PULSED LASER APPLICATIONS; SPECTROSCOPIC ANALYSIS; SPECTRUM ANALYSIS; TISSUE;

LASER-INDUCED FLUORESCENCE; MALIGNANT PATHOLOGICAL CONDITIONS; NORMAL PREMALIGNANT; ORAL TISSUES;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; FLUORESCENCE SPECTROSCOPY; HUMAN; HUMAN TISSUE; MOUTH; ORAL MUCOSAL DISEASE; PRINCIPAL COMPONENT ANALYSIS;

AGED; COMPUTER SIMULATION; FLUORESCENCE; HUMANS; MIDDLE AGED; MOUTH NEOPLASMS; NEURAL NETWORKS (COMPUTER); PRECANCEROUS CONDITIONS; PRINCIPAL COMPONENT ANALYSIS; SPECTROMETRY, FLUORESCENCE;

EID: 33744494091     PISSN: 00063525     EISSN: 10970282     Source Type: Journal    
DOI: 10.1002/bip.20473     Document Type: Article

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