文献
J-GLOBAL ID:202202238787071716
整理番号:22A0396596
非標識in vivoデータを有する深層ネットワーク超音波ビームフォーマの訓練【JST・京大機械翻訳】
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data
著者 (7件):
Tierney Jaime
(Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA)
,
Luchies Adam
(Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA)
,
Khan Christopher
(Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA)
,
Baker Jennifer
(Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA)
,
Brown Daniel
(Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA)
,
Byram Brett
(Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA)
,
Berger Matthew
(Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA)
資料名:
IEEE Transactions on Medical Imaging
(IEEE Transactions on Medical Imaging)
巻:
41
号:
1
ページ:
158-171
発行年:
2022年
JST資料番号:
H0895A
ISSN:
0278-0062
CODEN:
ITMID4
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)