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
Development of a Machine Learning Classifier Based on Radio..:
de Causans, Alix
;
Carré, Alexandre
;
Roux, Alexandre
...
Frontiers in Oncology. 11 (2021) - p. , 2021
Link:
https://doi.org/10.3389/fonc.2021.638262
RT Journal T1
Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fonc.2021.638262&Exemplar=1&LAN=DE A1 de Causans, Alix A1 Carré, Alexandre A1 Roux, Alexandre A1 Tauziède-Espariat, Arnault A1 Ammari, Samy A1 Dezamis, Edouard A1 Dhermain, Frederic A1 Reuzé, Sylvain A1 Deutsch, Eric A1 Oppenheim, Catherine A1 Varlet, Pascale A1 Pallud, Johan A1 Edjlali, Myriam A1 Robert, Charlotte 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.2021.638262 DO https://doi.org/10.3389/fonc.2021.638262 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)