Raman spectroscopy for diagnosis of atherosclerosis: A rapid analysis using neural networks

Medical Engineering and Physics

Volumn 27, Issue 3, 2005, Pages 237-244

  De Paula Jr , Alderico R ^a   Sathaiah, Sokki ^b  

^a INSTITUTO DE PESQUISA E DESENVOLVIMENTO   (Brazil)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Artificial neural network; Atherosclerosis; Digital signal processing; Laser angioplasty; Near infrared laser; Non invasive diagnosis; Principal component analysis; Raman spectroscopy; Real time analysis; Wavelet transformation

Indexed keywords

ALGORITHMS; BLOOD VESSELS; DATA ACQUISITION; DATA REDUCTION; DIAGNOSIS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; WAVELET TRANSFORMS;

CLINICAL APPLICATIONS; NEAR-INFRARED RAMAN SPECTROSCOPY (NIRS); RAMAN SIGNALS; RAPID DATA CLASSIFICATION;

RAMAN SPECTROSCOPY;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATHEROSCLEROSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DIAGNOSTIC PROCEDURE; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; NEAR INFRARED SPECTROSCOPY; PRIORITY JOURNAL; RAMAN SPECTROMETRY; SIGNAL NOISE RATIO;

ALGORITHMS; ARTERIOSCLEROSIS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTRUM ANALYSIS, RAMAN;

EID: 13444259463     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2004.10.007     Document Type: Article

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