文献
J-GLOBAL ID:202202220464606099
整理番号:22A0702354
深層学習を用いた2つのスコットビューからのCTにおける放射線量変調のための三次元断層撮影患者モデルの再構築【JST・京大機械翻訳】
Reconstruction of three-dimensional tomographic patient models for radiation dose modulation in CT from two scout views using deep learning
著者 (7件):
Montoya Juan C.
(Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA)
,
Zhang Chengzhu
(Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA)
,
Li Yinsheng
(Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA)
,
Li Ke
(Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA)
,
Li Ke
(Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA)
,
Chen Guang-Hong
(Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA)
,
Chen Guang-Hong
(Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA)
資料名:
Medical Physics
(Medical Physics)
巻:
49
号:
2
ページ:
901-916
発行年:
2022年
JST資料番号:
A1258A
ISSN:
0094-2405
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)