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
RePoint-Net detection and 3DSqU² Net segmentation for autom..:
Ghasemi, Shabnam
;
Akbarpour, Shahin
;
Farzan, Ali
.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 12 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1080/21681163.2023.2258998
RT Journal T1
RePoint-Net detection and 3DSqU² Net segmentation for automatic identification of pulmonary nodules in computed tomography images
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_21681163.2023.2258998&Exemplar=1&LAN=DE A1 Ghasemi, Shabnam A1 Akbarpour, Shahin A1 Farzan, Ali A1 Jamali, Mohammad Ali PB Informa UK Limited YR 2023 SN 2168-1163 SN 2168-1171 JF Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization VO 12 IS 1 LK http://dx.doi.org/https://doi.org/10.1080/21681163.2023.2258998 DO https://doi.org/10.1080/21681163.2023.2258998 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)