文献
J-GLOBAL ID:201902234728103445
整理番号:19A2417227
畳込みニューラルネットワークを用いた超音波カラーフローイメージングにおけるエイリアシングアーチファクトのセグメンテーション【JST・京大機械翻訳】
Segmentation of Aliasing Artefacts in Ultrasound Color Flow Imaging Using Convolutional Neural Networks
著者 (5件):
Nahas Hassan
(Research Institute for Aging and Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada)
,
Ishii Takuro
(Research Institute for Aging and Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada)
,
Chee Adrian
(Research Institute for Aging and Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada)
,
Yiu Billy
(Research Institute for Aging and Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada)
,
Yu Alfred
(Research Institute for Aging and Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
11663
ページ:
452-461
発行年:
2019年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)