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
Mitral Valve Leaflets Segmentation in Echocardiography usin..:
, In:
2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG)
,
Costa, Eva
;
Martins, Nelson
;
Sultan, Malik Saad
... - p. 1-4 , 2019
Link:
https://doi.org/10.1109/ENBENG.2019.8692573
RT T1
2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG)
: T1
Mitral Valve Leaflets Segmentation in Echocardiography using Convolutional Neural Networks*
UL https://suche.suub.uni-bremen.de/peid=ieee-8692573&Exemplar=1&LAN=DE A1 Costa, Eva A1 Martins, Nelson A1 Sultan, Malik Saad A1 Veiga, Diana A1 Ferreira, Manuel A1 Mattos, Sandra A1 Coimbra, Miguel YR 2019 K1 Training K1 Image segmentation K1 Heart K1 Echocardiography K1 Valves K1 Computer architecture K1 Active contours SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ENBENG.2019.8692573 DO https://doi.org/10.1109/ENBENG.2019.8692573 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)