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
MSTCNet: Parallel Multi-Scale Network For Medical Image Seg..:
, In:
Proceedings of the 2023 4th International Conference on Control, Robotics and Intelligent System
,
Xiao, Hongzhao
;
Tang, Jie
;
Song, Hongjian
. - p. 123-127 , 2023
Link:
https://dl.acm.org/doi/10.1145/3622896.3622917
RT T1 <cTitle>Proceedings of the 2023 4th International Conference on Control, Robotics and Intelligent System</cTitle>: T1 <Title>MSTCNet: Parallel Multi-Scale Network For Medical Image Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3622917&Exemplar=1&LAN=DE A1 Xiao, Hongzhao A1 Tang, Jie A1 Song, Hongjian A1 Hu, Juncheng PB ACM YR 2023 K1 attention mechanism K1 encoder-decoder K1 medical image segmentation K1 multi scale K1 vison transformer K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Image segmentation K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 123 OP 127 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3622896.3622917 DO https://dl.acm.org/doi/10.1145/3622896.3622917 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
