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
COMPARISON OF TWO AUTOMATIC METHODS FOR SVD LESION SEGMENTA..:
Noferini, Linhsia
;
Busoni, Simone
;
Bettarini, Silvia
...
Physica Medica. 104 (2022) - p. S134 , 2022
Link:
https://doi.org/10.1016/s1120-1797(22)02435-8
RT Journal T1
COMPARISON OF TWO AUTOMATIC METHODS FOR SVD LESION SEGMENTATION IN MR IMAGING: A PRELIMINARY STUDY
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_s1120-1797(22)02435-8&Exemplar=1&LAN=DE A1 Noferini, Linhsia A1 Busoni, Simone A1 Bettarini, Silvia A1 Tortoli, Paolo A1 Busto, Giorgio A1 Ginestroni, Andrea A1 Lombardo, Ivano A1 Carlesi, Edoardo A1 Di Pasquale, Francesca A1 Fainardi, Enrico A1 Belli, Giacomo PB Elsevier BV YR 2022 SN 1120-1797 JF Physica Medica VO 104 SP S134 LK http://dx.doi.org/https://doi.org/10.1016/s1120-1797(22)02435-8 DO https://doi.org/10.1016/s1120-1797(22)02435-8 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)