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
CS-CO: A Hybrid Self-Supervised Visual Representation Learn..:
Yang, Pengshuai
;
Yin, Xiaoxu
;
Lu, Haiming
...
Medical Image Analysis. 81 (2022) - p. 102539 , 2022
Link:
https://doi.org/10.1016/j.media.2022.102539
RT Journal T1
CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.media.2022.102539&Exemplar=1&LAN=DE A1 Yang, Pengshuai A1 Yin, Xiaoxu A1 Lu, Haiming A1 Hu, Zhongliang A1 Zhang, Xuegong A1 Jiang, Rui A1 Lv, Hairong PB Elsevier BV YR 2022 SN 1361-8415 JF Medical Image Analysis VO 81 SP 102539 LK http://dx.doi.org/https://doi.org/10.1016/j.media.2022.102539 DO https://doi.org/10.1016/j.media.2022.102539 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)