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
Predictive Efficacy of a Radiomics Random Forest Model for ..:
Zhao, Fen-hua
;
Fan, Hong-jie
;
Shan, Kang-fei
...
Frontiers in Oncology. 12 (2022) - p. , 2022
Link:
https://doi.org/10.3389/fonc.2022.872503
RT Journal T1
Predictive Efficacy of a Radiomics Random Forest Model for Identifying Pathological Subtypes of Lung Adenocarcinoma Presenting as Ground-Glass Nodules
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fonc.2022.872503&Exemplar=1&LAN=DE A1 Zhao, Fen-hua A1 Fan, Hong-jie A1 Shan, Kang-fei A1 Zhou, Long A1 Pang, Zhen-zhu A1 Fu, Chun-long A1 Yang, Ze-bin A1 Wu, Mei-kang A1 Sun, Ji-hong A1 Yang, Xiao-ming A1 Huang, Zhao-hui PB Frontiers Media SA YR 2022 SN 2234-943X JF Frontiers in Oncology VO 12 LK http://dx.doi.org/https://doi.org/10.3389/fonc.2022.872503 DO https://doi.org/10.3389/fonc.2022.872503 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)