文献
J-GLOBAL ID:202002219473458793
整理番号:20A0492425
血管系抽出のための多重可能性融合を用いたトポロジー最適化【JST・京大機械翻訳】
Topology Optimization Using Multiple-Possibility Fusion for Vasculature Extraction
著者 (9件):
Fang Huihui
(Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China)
,
Ai Danni
(Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China)
,
Cong Weijian
(School of Computer Science and Engineering, Beihang University, Beijing, China)
,
Yang Siyuan
(Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China)
,
Zhu Jianjun
(Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China)
,
Huang Yong
(Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China)
,
Song Hong
(School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China)
,
Wang Yongtian
(Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China)
,
Yang Jian
(Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China)
資料名:
IEEE Transactions on Circuits and Systems for Video Technology
(IEEE Transactions on Circuits and Systems for Video Technology)
巻:
30
号:
2
ページ:
442-456
発行年:
2020年
JST資料番号:
W0321A
ISSN:
1051-8215
CODEN:
ITCTEM
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)