Classification of the frequency of carotid artery stenosis with MLP and RBF neural networks in patients with coroner artery disease

Journal of Medical Systems

Volumn 28, Issue 6, 2004, Pages 591-601

  Yýldýrým, Hanefi ^a   Altýnsoy, Hasan Baki ^a   Barýpçý, Necaattin ^b   Ergün, Uçman ^b   Oǧur, Erkin ^a   Hardalaç, Firat ^a   Güler, Inan ^b  

^a FIRAT UNIVERSITY   (Turkey)

^b GAZI UNIVERSITY   (Turkey)

Author keywords

carotid arteries stenosis; coroner arteries stenosis; Doppler ultrasonography; MLP neural network; RBF neural network

Indexed keywords

ANGIOCARDIOGRAPHY; ARTERY INTIMA; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATHEROSCLEROTIC PLAQUE; CAROTID ARTERY OBSTRUCTION; COLOR ULTRASOUND FLOWMETRY; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DISEASE CLASSIFICATION; HUMAN; INTERMETHOD COMPARISON; STATISTICAL MODEL; THICKNESS; VEIN OCCLUSION;

ARTIFICIAL INTELLIGENCE; CAROTID STENOSIS; CORONARY ANGIOGRAPHY; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, DOPPLER;

EID: 6344294316     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:JOMS.0000044961.38008.97     Document Type: Article

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