文献
J-GLOBAL ID:201902212552561664
整理番号:19A1701718
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
Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT
著者 (10件):
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)
資料名:
Annals of Nuclear Medicine
(Annals of Nuclear Medicine)
巻:
33
号:
2
ページ:
86-92
発行年:
2019年02月
JST資料番号:
X0838A
ISSN:
0914-7187
CODEN:
ANMEEX
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)