Usage of eigenvector methods to improve reliable classifier for Doppler ultrasound signals

Computers in Biology and Medicine

Volumn 38, Issue 5, 2008, Pages 563-573

  Übeyli, Elif Derya ^a  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

Author keywords

Doppler ultrasound signals; Eigenvector methods; Probabilistic neural network; Recurrent neural network

Indexed keywords

DIAGNOSIS; DOPPLER EFFECT; EIGENVALUES AND EIGENFUNCTIONS; PROBABILISTIC LOGICS; SIGNAL ANALYSIS; ULTRASONICS;

DOPPLER ULTRASOUND SIGNALS; EIGENVECTOR METHODS; PROBABILISTIC NEURAL NETWORK; RECURRENT NEURAL NETWORK;

NEURAL NETWORKS;

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CONTROLLED STUDY; DECISION MAKING; DOPPLER ECHOGRAPHY; FEMALE; HUMAN; IMAGING SYSTEM; MAJOR CLINICAL STUDY; MALE; POWER SPECTRUM; PRIORITY JOURNAL; RELIABILITY;

ADOLESCENT; ADULT; AGED; ALGORITHMS; ARTERIAL OCCLUSIVE DISEASES; BEHCET SYNDROME; BLOOD FLOW VELOCITY; CAROTID ARTERY, INTERNAL; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); OPHTHALMIC ARTERY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPECTRUM ANALYSIS; ULTRASONOGRAPHY, DOPPLER;

EID: 42749088090     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2008.02.003     Document Type: Article

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