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
CauSSL: Causality-inspired Semi-supervised Learning for Med..:
, In:
2023 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Miao, Juzheng
;
Chen, Cheng
;
Liu, Furui
.. - p. 21369-21380 , 2023
Link:
https://doi.org/10.1109/ICCV51070.2023.01959
RT T1 <cTitle>2023 IEEE/CVF International Conference on Computer Vision (ICCV)</cTitle>: T1 <Title>CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10376893&Exemplar=1&LAN=DE A1 Miao, Juzheng A1 Chen, Cheng A1 Liu, Furui A1 Wei, Hao A1 Heng, Pheng-Ann YR 2023 SN 2380-7504 K1 Image segmentation K1 Computer vision K1 Three-dimensional displays K1 Semisupervised learning K1 Network architecture K1 Approximation algorithms K1 Convolutional neural networks SP 21369 OP 21380 LK http://dx.doi.org/https://doi.org/10.1109/ICCV51070.2023.01959 DO https://doi.org/10.1109/ICCV51070.2023.01959 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
