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
A deep-learning-based clinical risk stratification for over..:
Luo, Jin
;
Diao, Biyu
;
Wang, Jinqiu
...
Journal of Cancer Research and Clinical Oncology. 149 (2023) 12 - p. 10423-10433 , 2023
Link:
https://doi.org/10.1007/s00432-023-04955-0
RT Journal T1 <Title>A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00432-023-04955-0&Exemplar=1&LAN=DE A1 Luo, Jin A1 Diao, Biyu A1 Wang, Jinqiu A1 Yin, Ke A1 Guo, Shenchao A1 Hong, Chenyan A1 Guo, Yu PB Springer Science and Business Media LLC YR 2023 SN 0171-5216 SN 1432-1335 JF Journal of Cancer Research and Clinical Oncology VO 149 IS 12 SP 10423 OP 10433 LK http://dx.doi.org/https://doi.org/10.1007/s00432-023-04955-0 DO https://doi.org/10.1007/s00432-023-04955-0 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
