文献
J-GLOBAL ID:202202219015845405
整理番号:22A0794377
ASMCNN:アクティブ形状モデルと畳込みニューラルネットワークを用いた効率的な脳抽出【JST・京大機械翻訳】
ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks
著者 (9件):
Nguyen Duy H.M.
(Max Planck Institute for Informatics, Germany)
,
Nguyen Duy M.
(Dublin City University, Ireland)
,
Mai Truong T.N.
(Department of Multimedia Engineering, Dongguk University, South Korea)
,
Nguyen Thu
(Department of Mathematics, University of Louisiana at Lafayette, USA)
,
Tran Khanh T.
(Center for Machine Vision and Signal Analysis, University of Oulu, Finland)
,
Nguyen Anh Triet
(Department of Mathematics, University of Architecture of Ho Chi Minh City, Viet Nam)
,
Pham Bao T.
(Department of Computer Science, Saigon University, Ho Chi Minh City, Viet Nam)
,
Nguyen Binh T.
(Department of Computer Science, VNU-HCMUS, Ho Chi Minh City, Viet Nam)
,
Nguyen Binh T.
(Vietnam National University, Ho Chi Minh City, Viet Nam)
資料名:
Information Sciences
(Information Sciences)
巻:
591
ページ:
25-48
発行年:
2022年
JST資料番号:
D0636A
ISSN:
0020-0255
CODEN:
ISIJBC
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)