文献
J-GLOBAL ID:202202288803819770
整理番号:22A0747096
深層学習に基づく拡張視野CT画像再構成:走査視野外の画像推定に及ぼすネットワーク設計の影響【JST・京大機械翻訳】
Deep learning-based extended field of view computed tomography image reconstruction: influence of network design on image estimation outside the scan field of view
著者 (6件):
Khural Bhupinder Singh
(Pattern Recognition Lab at FAU Erlangen-Nuernberg, Martensstr. 3, 91058 Erlangen, Germany)
,
Baer-Beck Matthias
(Siemens Healthcare GmbH, Computed Tomography, Siemensstr. 3, 91301 Forchheim, Germany)
,
Fournie Eric
(Siemens Healthcare GmbH, Computed Tomography, Siemensstr. 3, 91301 Forchheim, Germany)
,
Stierstorfer Karl
(Siemens Healthcare GmbH, Computed Tomography, Siemensstr. 3, 91301 Forchheim, Germany)
,
Huang Yixing
(Pattern Recognition Lab at FAU Erlangen-Nuernberg, Martensstr. 3, 91058 Erlangen, Germany)
,
Maier Andreas
(Pattern Recognition Lab at FAU Erlangen-Nuernberg, Martensstr. 3, 91058 Erlangen, Germany)
資料名:
Biomedical Physics & Engineering Express
(Biomedical Physics & Engineering Express)
巻:
8
号:
2
ページ:
025021 (17pp)
発行年:
2022年
JST資料番号:
W5552A
ISSN:
2057-1976
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)