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
Deep learning‐based COVID‐19 diagnosis using CT scans with ..:
Humam Adnan Sameer
;
Ammar Hussein Mutlag
;
Sadik Kamel Gharghan
https://doi.org/10.1049/ipr2.12837. , 2023
Link:
https://doi.org/10.1049/ipr2.12837
RT Journal T1
Deep learning‐based COVID‐19 diagnosis using CT scans with laboratory and physiological parameters
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:553f11ffc78a4864bdd609ed968b81fa&Exemplar=1&LAN=DE A1 Humam Adnan Sameer A1 Ammar Hussein Mutlag A1 Sadik Kamel Gharghan PB Wiley YR 2023 K1 convolutional neural network K1 computed tomography scan K1 COVID‐19 K1 deep learning K1 diagnosis K1 physiological parameters K1 Photography K1 TR1-1050 K1 Computer software K1 QA76.75-76.765 JF https://doi.org/10.1049/ipr2.12837 LK http://dx.doi.org/https://doi.org/10.1049/ipr2.12837 DO https://doi.org/10.1049/ipr2.12837 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)