文献
J-GLOBAL ID:201702226948677600
整理番号:17A1036506
深い学習を用いた妊娠第1期の胎盤の自動3D超音波セグメンテーション【Powered by NICT】
Automatic 3D ultrasound segmentation of the first trimester placenta using deep learning
著者 (7件):
Looney Padraig
(Nuffield Department of Obstetrics and Gynaecology, University of Oxford, UK)
,
Stevenson Gordon N.
(School of Womens and Childrens Health, UNSW, Randwick, NSW, Australia)
,
Nicolaides Kypros H.
(Harris Birthright Research Centre of Fetal Medicine, Kings College Hospital, UK)
,
Plasencia Walter
(Fetal Medicine Unit, Hospiten Group. Tenerife. Canary Islands, Spain)
,
Molloholli Malid
(Fetal Medicine Unit, The Womens Centre, John Radcliffe Hospital, Oxford, UK)
,
Natsis Stavros
(Fetal Medicine Unit, The Womens Centre, John Radcliffe Hospital, Oxford, UK)
,
Collins Sally L.
(Nuffield Department of Obstetrics and Gynaecology, University of Oxford, UK)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ISBI
ページ:
279-282
発行年:
2017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)