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
Computed tomographic features for differentiating benign fr..:
LEELA-ARPORN, Rommaneeya
;
OHTA, Hiroshi
;
SHIMBO, Genya
...
Journal of Veterinary Medical Science. 81 (2019) 12 - p. 1697-1704 , 2019
Link:
https://doi.org/10.1292/jvms.19-0278
RT Journal T1
Computed tomographic features for differentiating benign from malignant liver lesions in dogs
UL https://suche.suub.uni-bremen.de/peid=cr-10.1292_jvms.19-0278&Exemplar=1&LAN=DE A1 LEELA-ARPORN, Rommaneeya A1 OHTA, Hiroshi A1 SHIMBO, Genya A1 HANAZONO, Kiwamu A1 OSUGA, Tatsuyuki A1 MORISHITA, Keitaro A1 SASAKI, Noboru A1 TAKIGUCHI, Mitsuyoshi PB Japanese Society of Veterinary Science YR 2019 SN 0916-7250 SN 1347-7439 JF Journal of Veterinary Medical Science VO 81 IS 12 SP 1697 OP 1704 LK http://dx.doi.org/https://doi.org/10.1292/jvms.19-0278 DO https://doi.org/10.1292/jvms.19-0278 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)