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
Quality-Adaptive Split-Federated Learning for Segmenting Me..:
, In:
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
,
Kafshgari, Zahra Hafezi
;
Shiranthika, Chamani
;
Saeedi, Parvaneh
. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ISBI53787.2023.10230484
RT T1
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
: T1
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations
UL https://suche.suub.uni-bremen.de/peid=ieee-10230484&Exemplar=1&LAN=DE A1 Kafshgari, Zahra Hafezi A1 Shiranthika, Chamani A1 Saeedi, Parvaneh A1 Bajic, Ivan V YR 2023 SN 1945-8452 K1 Training K1 Adaptation models K1 Image segmentation K1 Embryo K1 Federated learning K1 Iron K1 Servers K1 SplitFed learning K1 privacy K1 poor annotation K1 ground truth corruption K1 data heterogeneity SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISBI53787.2023.10230484 DO https://doi.org/10.1109/ISBI53787.2023.10230484 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)