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
Addressing Class Imbalance for Transformer Based Knee MRI C..:
, In:
2022 7th International Conference on Computer Science and Engineering (UBMK)
,
Sezen, Gokay
;
Oksuz, Ilkay
- p. 235-238 , 2022
Link:
https://doi.org/10.1109/UBMK55850.2022.9919578
RT T1
2022 7th International Conference on Computer Science and Engineering (UBMK)
: T1
Addressing Class Imbalance for Transformer Based Knee MRI Classification
UL https://suche.suub.uni-bremen.de/peid=ieee-9919578&Exemplar=1&LAN=DE A1 Sezen, Gokay A1 Oksuz, Ilkay YR 2022 SN 2521-1641 K1 Training K1 Sensitivity K1 Machine learning algorithms K1 Magnetic resonance imaging K1 Semantics K1 Magnetic resonance K1 Network architecture K1 Deep Learning K1 Knee MRI K1 Imbalance SP 235 OP 238 LK http://dx.doi.org/https://doi.org/10.1109/UBMK55850.2022.9919578 DO https://doi.org/10.1109/UBMK55850.2022.9919578 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)