Non-invasive temperature prediction of in vitro therapeutic ultrasound signals using neural networks

Medical and Biological Engineering and Computing

Volumn 44, Issue 1-2, 2006, Pages 111-116

  Teixeira, C A ^a   Ruano, A E ^a   Ruano, M Graça ^a   Pereira, Wagner C A ^b   Negreira, Carlos ^c  

^a UNIVERSITY OF ALGARVE   (Portugal)

^b FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^c UNIVERSIDAD DE LA REPÚBLICA   (Uruguay)

Author keywords

Hyperthermia; Neural network; Ultrasound

Indexed keywords

CURVE FITTING; MATHEMATICAL MODELS; RADIAL BASIS FUNCTION NETWORKS; ULTRASONICS;

BLACK-BOX MODELLING; NON-INVASIVE TEMPERATURE PREDICTION; TEMPERATURE ESTIMATION; THERAPEUTIC ULTRASOUND SIGNALS;

HYPERTHERMIA THERAPY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER MODEL; EXPERIMENTAL DESIGN; FEASIBILITY STUDY; GENETIC ALGORITHM; MATHEMATICAL COMPUTING; MEASUREMENT ERROR; NON INVASIVE MEASUREMENT; PREDICTION; SIGNAL DETECTION; STATISTICAL MODEL; TEMPERATURE MEASUREMENT; ULTRASOUND THERAPY;

BODY TEMPERATURE; HUMANS; HYPERTHERMIA, INDUCED; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); ULTRASONIC THERAPY;

EID: 33745455862     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-005-0004-2     Document Type: Article

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