文献
J-GLOBAL ID:202002284766072128
整理番号:20A2436884
コンピュータ断層撮影の1mm厚画像上の肺結節の検出における深層学習によるコンピュータ支援診断(CAD)システムの効率
Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography
著者 (12件):
Kozuka Takenori
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Matsukubo Yuko
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Kadoba Tomoya
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Oda Teruyoshi
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Suzuki Ayako
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Hyodo Tomoko
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Im SungWoon
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Kaida Hayato
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Yagyu Yukinobu
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Tsurusaki Masakatsu
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Matsuki Mitsuru
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
,
Ishii Kazunari
(Department of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan)
資料名:
Japanese Journal of Radiology
(Japanese Journal of Radiology)
巻:
38
号:
11
ページ:
1052-1061
発行年:
2020年11月25日
JST資料番号:
L3853A
ISSN:
1867-1071
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)