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
A generalizable deep learning regression model for automate..:
Hemelings, Ruben
;
Elen, Bart
;
Schuster, Alexander K
...
112. , 2023
Link:
https://trepo.tuni.fi/handle/10024/150329
RT Journal T1
A generalizable deep learning regression model for automated glaucoma screening from fundus images
UL https://suche.suub.uni-bremen.de/peid=base-ftunivtampere:oai:trepo.tuni.fi:10024_150329&Exemplar=1&LAN=DE A1 Hemelings, Ruben A1 Elen, Bart A1 Schuster, Alexander K A1 Blaschko, Matthew B A1 Barbosa-Breda, João A1 Hujanen, Pekko A1 Junglas, Annika A1 Nickels, Stefan A1 White, Andrew A1 Pfeiffer, Norbert A1 Mitchell, Paul A1 De Boever, Patrick A1 Tuulonen, Anja A1 Stalmans, Ingeborg YR 2023 K1 3125 Otorhinolaryngology K1 ophthalmology JF 112 LK http://dx.doi.org/https://trepo.tuni.fi/handle/10024/150329 DO https://trepo.tuni.fi/handle/10024/150329 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)