Classification of in vivo 1H MR spectra from breast tissue using artificial neural networks

Anticancer Research

Volumn 21, Issue 2 B, 2001, Pages 1481-1485

  Lee, J K ^a   Tsai, S C ^a   Ho, Y J ^a   Chanclai, S P ^a   Kao, C H ^a   Bakken, I J ^a  

^a SINTEF   (Norway)

Author keywords

Breast cancer; Data analysis; In vivo proton MR spectroscopy

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST TUMOR; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; FEMALE; HUMAN; HUMAN TISSUE; IN VIVO STUDY; PATTERN RECOGNITION; PRIORITY JOURNAL; PROTON NUCLEAR MAGNETIC RESONANCE; QUALITATIVE DIAGNOSIS; SIGNAL NOISE RATIO; TISSUE CHARACTERIZATION; TUMOR VOLUME; BREAST; CLASSIFICATION; INFORMATION PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PATHOLOGY; PREDICTION AND FORECASTING;

AUTOMATIC DATA PROCESSING; BREAST; BREAST NEOPLASMS; FEMALE; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS;

EID: 0035024838     PISSN: 02507005     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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