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
CCT-Unet: A U-Shaped Network Based on Convolution Coupled T..:
Yan, Yifei
;
Liu, Rongzong
;
Chen, Haobo
..
IEEE Journal of Biomedical and Health Informatics. 27 (2023) 9 - p. 4341-4351 , 2023
Link:
https://doi.org/10.1109/jbhi.2023.3289913
RT Journal T1
CCT-Unet: A U-Shaped Network Based on Convolution Coupled Transformer for Segmentation of Peripheral and Transition Zones in Prostate MRI
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_jbhi.2023.3289913&Exemplar=1&LAN=DE A1 Yan, Yifei A1 Liu, Rongzong A1 Chen, Haobo A1 Zhang, Limin A1 Zhang, Qi PB Institute of Electrical and Electronics Engineers (IEEE) YR 2023 SN 2168-2194 SN 2168-2208 JF IEEE Journal of Biomedical and Health Informatics VO 27 IS 9 SP 4341 OP 4351 LK http://dx.doi.org/https://doi.org/10.1109/jbhi.2023.3289913 DO https://doi.org/10.1109/jbhi.2023.3289913 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)