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
An Approach for COVID-19 Identification from Chest X-ray Im..:
, In:
2022 RIVF International Conference on Computing and Communication Technologies (RIVF)
,
Vo-Dinh, Nghia
;
Ha-Bao, Anh
;
Huynh, Hieu Trung
- p. 140-144 , 2022
Link:
https://doi.org/10.1109/RIVF55975.2022.10013838
RT T1
2022 RIVF International Conference on Computing and Communication Technologies (RIVF)
: T1
An Approach for COVID-19 Identification from Chest X-ray Images Using High-Resolution Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10013838&Exemplar=1&LAN=DE A1 Vo-Dinh, Nghia A1 Ha-Bao, Anh A1 Huynh, Hieu Trung YR 2022 K1 COVID-19 K1 Training K1 Sensitivity K1 Pulmonary diseases K1 Soft sensors K1 Lung K1 Streaming media K1 High-resolution network K1 COVID-19 identification K1 chest x-ray image K1 Computer-aided detection K1 deep learning SP 140 OP 144 LK http://dx.doi.org/https://doi.org/10.1109/RIVF55975.2022.10013838 DO https://doi.org/10.1109/RIVF55975.2022.10013838 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)