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
Estimates of the image quality in accordance with radiation..:
, In:
2022 IEEE International Conference on Big Data and Smart Computing (BigComp)
,
Jeon, Pil-Hyun
;
Kim, Daehong
;
Chung, Myung-Ae
- p. 352-356 , 2022
Link:
https://doi.org/10.1109/BigComp54360.2022.00078
RT T1
2022 IEEE International Conference on Big Data and Smart Computing (BigComp)
: T1
Estimates of the image quality in accordance with radiation dose for pediatric imaging using deep learning CT: A phantom study
UL https://suche.suub.uni-bremen.de/peid=ieee-9736483&Exemplar=1&LAN=DE A1 Jeon, Pil-Hyun A1 Kim, Daehong A1 Chung, Myung-Ae YR 2022 SN 2375-9356 K1 Image quality K1 Deep learning K1 Pediatrics K1 Computed tomography K1 Noise reduction K1 Imaging K1 Imaging phantoms K1 Deep learning reconstruction (DLR) K1 Pediatric computed tomography (CT) K1 Radiation dose SP 352 OP 356 LK http://dx.doi.org/https://doi.org/10.1109/BigComp54360.2022.00078 DO https://doi.org/10.1109/BigComp54360.2022.00078 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)