文献
J-GLOBAL ID:201702213442955048
整理番号:17A1459718
造影超音波における局性肝病変のセグメンテーションと定量化のための最適基準座標系の自動同定【Powered by NICT】
Automatic Identification of the Optimal Reference Frame for Segmentation and Quantification of Focal Liver Lesions in Contrast-Enhanced Ultrasound
著者 (7件):
Bakas Spyridon
(Digital Information Research Centre (DIRC), School of Computer Science & Mathematics, Faculty of Science, Engineering and Computing (SEC), Kingston University, Penrhyn Road, Kingston-Upon-Thames, London, United Kingdom)
,
Bakas Spyridon
(Center for Biomedical Image Computing and Analytics (CBICA), Perelman School of Medicine, University of Pennsylvania, Richards Medical Research Laboratories, Philadelphia, PA, USA)
,
Makris Dimitrios
(Digital Information Research Centre (DIRC), School of Computer Science & Mathematics, Faculty of Science, Engineering and Computing (SEC), Kingston University, Penrhyn Road, Kingston-Upon-Thames, London, United Kingdom)
,
Hunter Gordon J.A.
(Digital Information Research Centre (DIRC), School of Computer Science & Mathematics, Faculty of Science, Engineering and Computing (SEC), Kingston University, Penrhyn Road, Kingston-Upon-Thames, London, United Kingdom)
,
Fang Cheng
(Department of Radiology, King’s College Hospital, London, United Kingdom)
,
Sidhu Paul S.
(Department of Radiology, King’s College Hospital, London, United Kingdom)
,
Chatzimichail Katerina
(Radiology & Imaging Research Centre, Evgenidion Hospital, National and Kapodistrian University, Athens, Greece)
資料名:
Ultrasound in Medicine and Biology
(Ultrasound in Medicine and Biology)
巻:
43
号:
10
ページ:
2438-2451
発行年:
2017年
JST資料番号:
H0578A
ISSN:
0301-5629
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)