文献
J-GLOBAL ID:201802253671748955
整理番号:18A2024490
混合現実は医療手順の訓練を改善できるか【JST・京大機械翻訳】
Can Mixed-Reality Improve the Training of Medical Procedures?
著者 (7件):
Azimi Ehsan
(Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA)
,
Winkler Alexander
(Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA)
,
Tucker Emerson
(Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA)
,
Qian Long
(Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA)
,
Doswell Jayfus
(Juxtopia LLC, Baltimore, MD, 21218, USA)
,
Navab Nassir
(Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA)
,
Kazanzides Peter
(Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
EMBC
ページ:
4065-4068
発行年:
2018年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)