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
A Novel Multi-Scale Network based on Class Attention for Di..:
, In:
2023 IEEE Smart World Congress (SWC)
,
Chen, HongYu
;
Wu, RongHua
;
Tao, Chen
... - p. 1-4 , 2023
Link:
https://doi.org/10.1109/SWC57546.2023.10448864
RT T1
2023 IEEE Smart World Congress (SWC)
: T1
A Novel Multi-Scale Network based on Class Attention for Diabetes Retinopathy
UL https://suche.suub.uni-bremen.de/peid=ieee-10448864&Exemplar=1&LAN=DE A1 Chen, HongYu A1 Wu, RongHua A1 Tao, Chen A1 Xu, WenJing A1 Yu, Hui A1 Liu, HongZhe A1 Xu, Cheng A1 Jian, MuWei YR 2023 K1 Deep learning K1 Retinopathy K1 Feature extraction K1 Diabetes K1 Lesions K1 Clinical diagnosis K1 Residual neural networks K1 DR grading K1 Multi-scale K1 Attention mechanism K1 Fundus images SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/SWC57546.2023.10448864 DO https://doi.org/10.1109/SWC57546.2023.10448864 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)