文献
J-GLOBAL ID:201902292039262499
整理番号:19A1489949
ロボット工学における人工知能開発のための外科プロセスモデリングの強化:最小侵襲手順のためのSARAS事例研究【JST・京大機械翻訳】
Enhancing Surgical Process Modeling for Artificial Intelligence development in robotics: the SARAS case study for Minimally Invasive Procedures
著者 (11件):
Oleari Elettra
(Center for Advanced Technology in Health and Wellbeing, IRCCS San Raffaele Scientific Institute, Milan, Italy)
,
Leporini Alice
(Center for Advanced Technology in Health and Wellbeing, IRCCS San Raffaele Scientific Institute, Milan, Italy)
,
Trojaniello Diana
(Center for Advanced Technology in Health and Wellbeing, IRCCS San Raffaele Scientific Institute, Milan, Italy)
,
Sanna Alberto
(Center for Advanced Technology in Health and Wellbeing, IRCCS San Raffaele Scientific Institute, Milan, Italy)
,
Capitanio Umberto
(Unit of Urology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy)
,
Deho Federico
(Unit of Urology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy)
,
Larcher Alessandro
(Unit of Urology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy)
,
Montorsi Francesco
(Unit of Urology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy)
,
Salonia Andrea
(Unit of Urology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy)
,
Setti Francesco
(Department of Computer Science, University of Verona, Verona, Italy)
,
Muradore Riccardo
(Department of Computer Science, University of Verona, Verona, Italy)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
ISMICT
ページ:
1-6
発行年:
2019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)