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
P137 Preliminary validation of a multi-stage machine learni..:
Hagendorn, E
;
Karsen, S
;
Pai, R
...
Journal of Crohn's and Colitis. 15 (2021) Supplement_1 - p. S224-S225 , 2021
Link:
https://doi.org/10.1093/ecco-jcc/jjab076.264
RT Journal T1 <Title>P137 Preliminary validation of a multi-stage machine learning algorithm to assess histological inflammation in inflammatory bowel disease</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_ecco-jcc_jjab076.264&Exemplar=1&LAN=DE A1 Hagendorn, E A1 Karsen, S A1 Pai, R A1 Jairath, V A1 Knight, H A1 Schwartz, A A1 Laroux, S A1 Butler, J A1 Dunstan, R PB Oxford University Press (OUP) YR 2021 SN 1873-9946 SN 1876-4479 JF Journal of Crohn's and Colitis VO 15 IS Supplement_1 SP S224 OP S225 LK http://dx.doi.org/https://doi.org/10.1093/ecco-jcc/jjab076.264 DO https://doi.org/10.1093/ecco-jcc/jjab076.264 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
