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
An Adversarial Deep-Learning-Based Model for Cervical Cance..:
Liu, Zhikai
;
Chen, Wanqi
;
Guan, Hui
...
Frontiers in Oncology. 11 (2021) - p. , 2021
Link:
https://doi.org/10.3389/fonc.2021.702270
RT Journal T1
An Adversarial Deep-Learning-Based Model for Cervical Cancer CTV Segmentation With Multicenter Blinded Randomized Controlled Validation
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fonc.2021.702270&Exemplar=1&LAN=DE A1 Liu, Zhikai A1 Chen, Wanqi A1 Guan, Hui A1 Zhen, Hongnan A1 Shen, Jing A1 Liu, Xia A1 Liu, An A1 Li, Richard A1 Geng, Jianhao A1 You, Jing A1 Wang, Weihu A1 Li, Zhouyu A1 Zhang, Yongfeng A1 Chen, Yuanyuan A1 Du, Junjie A1 Chen, Qi A1 Chen, Yu A1 Wang, Shaobin A1 Zhang, Fuquan A1 Qiu, Jie PB Frontiers Media SA YR 2021 SN 2234-943X JF Frontiers in Oncology VO 11 LK http://dx.doi.org/https://doi.org/10.3389/fonc.2021.702270 DO https://doi.org/10.3389/fonc.2021.702270 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)