Art

J-GLOBAL ID：201902212552561664   Reference number：19A1701718

Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT

心筋灌流SPECTにおいて局所異常を検出することに対する人工ニューラルネットワークの正確度

Author (10)： Shibutani Takayuki (Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan) ,  Nakajima Kenichi (Department of Nuclear Medicine, Kanazawa University Hospital, Kanazawa, Japan) ,  Wakabayashi Hiroshi (Department of Nuclear Medicine, Kanazawa University Hospital, Kanazawa, Japan) ,  Mori Hiroshi (Department of Nuclear Medicine, Kanazawa University Hospital, Kanazawa, Japan) ,  Matsuo Shinro (Department of Nuclear Medicine, Kanazawa University Hospital, Kanazawa, Japan) ,  Yoneyama Hiroto (Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan) ,  Konishi Takahiro (Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan) ,  Okuda Koichi (Department of Physics, Kanazawa Medical University, Kahoku, Japan) ,  Onoguchi Masahisa (Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan) ,  Kinuya Seigo (Department of Nuclear Medicine, Kanazawa University Hospital, Kanazawa, Japan)
Material： Annals of Nuclear Medicine  (Ann Nucl Med)
Volume： 33  Issue： 2  Page： 86-92  Publication year： Feb. 2019 
JST Material Number： X0838A  ISSN： 0914-7187  CODEN： ANMEEX  Document type： Article
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Thesaurus term： human ,...
Semi thesaurus term： *computer aided diagnosis ,...

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Author keywords (5)： Artificial neural network ,  Computer-aided diagnosis ,  Myocardial perfusion ,  SPECT ,  Artificial intelligence

JST classification (2)： Cardiovascular system diagnosis  (GJ02000V) ,  Radiodiagnosis  (GC04020K)

Terms in the title (4)： 心筋灌流 ,  SPECT ,  人工ニューラルネットワーク ,  正確度