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
Pulmonary X-Ray Image Classification Using Deep Learning wi..:
, In:
2023 13th International Conference on Information Technology in Medicine and Education (ITME)
,
Chen, Hongkang
;
Lu, Huijuan
;
Chai, Zhuijun
... - p. 250-255 , 2023
Link:
https://doi.org/10.1109/ITME60234.2023.00059
RT T1 <cTitle>2023 13th International Conference on Information Technology in Medicine and Education (ITME)</cTitle>: T1 <Title>Pulmonary X-Ray Image Classification Using Deep Learning with Coordinate Attention and Meta-ACON Activation Function</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10505613&Exemplar=1&LAN=DE A1 Chen, Hongkang A1 Lu, Huijuan A1 Chai, Zhuijun A1 Zhu, Wenjie A1 Huo, Wanli A1 Yao, Yudong YR 2023 SN 2474-3828 K1 Measurement K1 Deep learning K1 Adaptation models K1 Pneumonia K1 Image recognition K1 Lung K1 X-rays K1 Pneumonia X-ray K1 attention mechanism K1 linear and nonlinear K1 long-range dependencies K1 ResNet50 SP 250 OP 255 LK http://dx.doi.org/https://doi.org/10.1109/ITME60234.2023.00059 DO https://doi.org/10.1109/ITME60234.2023.00059 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
