Diagnostic Performance of Artificial Neural Network for Detecting Ischemia in Myocardial Perfusion Imaging.

Journal: Circulation journal : official journal of the Japanese Circulation Society

Published Date: Apr 3, 2015

Abstract

BACKGROUND: The purpose of this study was to apply an artificial neural network (ANN) in patients with coronary artery disease (CAD) and to characterize its diagnostic ability compared with conventional visual and quantitative methods in myocardial perfusion imaging (MPI).

Authors

Kenichi Nakajima

Department of Nuclear Medicine, Kanazawa University Hospital.
Shinro Matsuo
Hiroshi Wakabayashi
Kunihiko Yokoyama
Hisashi Bunko
Koichi Okuda
Seigo Kinuya
Karin Nyström
Lars Edenbrandt

Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Keywords

Adult Aged Aged, 80 and over Coronary Stenosis Female Humans Image Processing, Computer-Assisted Male Middle Aged Myocardial Perfusion Imaging Neural Networks, Computer Radiography Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (25843558)

Diagnostic Performance of Artificial Neural Network for Detecting Ischemia in Myocardial Perfusion Imaging.

Abstract

Authors

Keywords

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