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
Federated Learning for Multi-institutional on 3D Brain Tumo..:
, In:
2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)
,
Elbachir, Yahiaoui Mohammed
;
Makhlouf, Derdour
;
Mohamed, Gasmi
.. - p. 1-8 , 2024
Link:
https://doi.org/10.1109/PAIS62114.2024.10541292
RT T1 <cTitle>2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)</cTitle>: T1 <Title>Federated Learning for Multi-institutional on 3D Brain Tumor Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10541292&Exemplar=1&LAN=DE A1 Elbachir, Yahiaoui Mohammed A1 Makhlouf, Derdour A1 Mohamed, Gasmi A1 Bouhamed, Mohammed Mounir A1 Abdellah, Kouzou YR 2024 K1 Deep learning K1 Data privacy K1 Solid modeling K1 Three-dimensional displays K1 Federated learning K1 Semantic segmentation K1 Brain modeling K1 Brain tumour segmentation K1 3D U-Net SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/PAIS62114.2024.10541292 DO https://doi.org/10.1109/PAIS62114.2024.10541292 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
