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
Stenosis Detection in X-ray Coronary Angiography with Deep ..:
, In:
Proceedings of the 9th International Conference on Bioinformatics Research and Applications
,
Stralen, Pedro Van
;
Rodrigues, Dinis L.
;
Oliveira, Arlindo L.
.. - p. 123-128 , 2022
Link:
https://dl.acm.org/doi/10.1145/3569192.3569212
RT T1
Proceedings of the 9th International Conference on Bioinformatics Research and Applications
: T1
Stenosis Detection in X-ray Coronary Angiography with Deep Neural Networks Leveraged by Attention Mechanisms
UL https://suche.suub.uni-bremen.de/peid=acm-3569212&Exemplar=1&LAN=DE A1 Stralen, Pedro Van A1 Rodrigues, Dinis L. A1 Oliveira, Arlindo L. A1 Menezes, Miguel N. A1 Pinto, Fausto J. PB ACM YR 2022 K1 Attention mechanisms K1 Convolutional neural network K1 Coronary artery disease K1 Feature extraction K1 Image resolution K1 Invasive coronary angiography K1 Object detection K1 Optimization K1 Stenosis detection SP 123 OP 128 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3569192.3569212 DO https://dl.acm.org/doi/10.1145/3569192.3569212 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)