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
DFGR: Deep Feature Graph Representation for Predicting Knee..:
, In:
2024 4th International Conference on Neural Networks, Information and Communication (NNICE)
,
Xu, Tao
;
Dai, Dawei
;
Wang, Yuqi
. - p. 394-398 , 2024
Link:
https://doi.org/10.1109/NNICE61279.2024.10498947
RT T1 <cTitle>2024 4th International Conference on Neural Networks, Information and Communication (NNICE)</cTitle>: T1 <Title>DFGR: Deep Feature Graph Representation for Predicting Knee Osteoarthritis</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10498947&Exemplar=1&LAN=DE A1 Xu, Tao A1 Dai, Dawei A1 Wang, Yuqi A1 Li, Gen YR 2024 K1 Measurement K1 Image segmentation K1 Medical services K1 Information processing K1 Predictive models K1 Feature extraction K1 Reliability K1 KOA K1 Deep Feature K1 Graph Structure K1 Image Classification SP 394 OP 398 LK http://dx.doi.org/https://doi.org/10.1109/NNICE61279.2024.10498947 DO https://doi.org/10.1109/NNICE61279.2024.10498947 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
