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
Pancreatic Ductal Adenocarcinoma: Machine Learning–Based Qu..:
Qiu, Wenli
;
Duan, Na
;
Chen, Xiao
...
Cancer Management and Research. 11 (2019) - p. 9253-9264 , 2019
Link:
https://doi.org/10.2147/cmar.s218414
RT Journal T1 <Title>Pancreatic Ductal Adenocarcinoma: Machine Learning–Based Quantitative Computed Tomography Texture Analysis For Prediction Of Histopathological Grade</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.2147_cmar.s218414&Exemplar=1&LAN=DE A1 Qiu, Wenli A1 Duan, Na A1 Chen, Xiao A1 Ren, Shuai A1 Zhang, Yifen A1 Wang, Zhongqiu A1 Chen, Rong PB Informa UK Limited YR 2019 SN 1179-1322 JF Cancer Management and Research VO 11 SP 9253 OP 9264 LK http://dx.doi.org/https://doi.org/10.2147/cmar.s218414 DO https://doi.org/10.2147/cmar.s218414 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
