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
Automatic segmentation of the temporomandibular joint disc ..:
Nozawa, Michihito
;
Ito, Hirokazu
;
Ariji, Yoshiko
...
Dentomaxillofacial Radiology. 51 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1259/dmfr.20210185
RT Journal T1
Automatic segmentation of the temporomandibular joint disc on magnetic resonance images using a deep learning technique
UL https://suche.suub.uni-bremen.de/peid=cr-10.1259_dmfr.20210185&Exemplar=1&LAN=DE A1 Nozawa, Michihito A1 Ito, Hirokazu A1 Ariji, Yoshiko A1 Fukuda, Motoki A1 Igarashi, Chinami A1 Nishiyama, Masako A1 Ogi, Nobumi A1 Katsumata, Akitoshi A1 Kobayashi, Kaoru A1 Ariji, Eiichiro PB Oxford University Press (OUP) YR 2022 SN 0250-832X SN 1476-542X JF Dentomaxillofacial Radiology VO 51 IS 1 LK http://dx.doi.org/https://doi.org/10.1259/dmfr.20210185 DO https://doi.org/10.1259/dmfr.20210185 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)