Scandinavian test of artificial neural network for classification of myocardial perfusion images

Clinical Physiology

Volumn 20, Issue 4, 2000, Pages 253-261

  Lindahl, D ^a,c   Toft, J ^b   Hesse, B ^b   Palmer, J ^a   Ali, S ^b   Lundin, A ^a   Edenbrandt, L ^a  

^a LUND UNIVERSITY   (Sweden)

^b Rigshospitalet   (Denmark)

^c LUND UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Artificial intelligence; Computer assisted diagnosis; Coronary artery disease; Quantitative analysis; Radionuclide imaging

Indexed keywords

METHOXY ISOBUTYL ISONITRILE TECHNETIUM TC 99M;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; CORONARY ARTERY DISEASE; DENMARK; DIAGNOSTIC ACCURACY; FEMALE; HEART MUSCLE PERFUSION; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; SCINTIGRAPHY; SWEDEN;

CORONARY DISEASE; DIAGNOSIS, COMPUTER-ASSISTED; HEART; HOSPITAL INFORMATION SYSTEMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); RADIONUCLIDE ANGIOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 0033924437     PISSN: 01445979     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-2281.2000.00255.x     Document Type: Article

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