I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
RU-Net: A refining segmentation network for 2D echocardiogr..:
, In:
2019 IEEE International Ultrasonics Symposium (IUS)
,
Leclerc, Sarah
;
Jodoin, Pierre-Marc
;
Lovstakken, Lasse
... - p. 1160-1163 , 2019
Link:
https://doi.org/10.1109/ULTSYM.2019.8926158
RT T1
2019 IEEE International Ultrasonics Symposium (IUS)
: T1
RU-Net: A refining segmentation network for 2D echocardiography
UL https://suche.suub.uni-bremen.de/peid=ieee-8926158&Exemplar=1&LAN=DE A1 Leclerc, Sarah A1 Jodoin, Pierre-Marc A1 Lovstakken, Lasse A1 Bernard, Olivier A1 Smistad, Erik A1 Grenier, Thomas A1 Lartizien, Carole A1 Ostvik, Andreas A1 Cervenansky, Frederic A1 Espinosa, Florian A1 Espeland, Torvald A1 Rye Berg, Erik Andreas YR 2019 SN 1948-5727 K1 Image segmentation K1 Pipelines K1 Robustness K1 Echocardiography K1 Two dimensional displays K1 Hospitals K1 Shape K1 2D Echocardiography K1 Multi-class segmentation K1 Deep learning K1 Outlier reduction SP 1160 OP 1163 LK http://dx.doi.org/https://doi.org/10.1109/ULTSYM.2019.8926158 DO https://doi.org/10.1109/ULTSYM.2019.8926158 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)