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 U-Net Network Model for Medical Image Segmentation Based ..:
, In:
2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
,
Di, Jing
;
Ma, Shuai
;
Lian, Jing
. - p. 298-302 , 2022
Link:
https://doi.org/10.1109/ICMTMA54903.2022.00064
RT T1
2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
: T1
A U-Net Network Model for Medical Image Segmentation Based on Improved Skip Connections
UL https://suche.suub.uni-bremen.de/peid=ieee-9724086&Exemplar=1&LAN=DE A1 Di, Jing A1 Ma, Shuai A1 Lian, Jing A1 Wang, Guodong YR 2022 SN 2157-1481 K1 Image segmentation K1 Mechatronics K1 Convolution K1 Microscopy K1 Microprocessors K1 Computed tomography K1 Liver K1 Deep Learning K1 U-Net K1 Medical Image Segmentation K1 FCN-8s K1 Network Model SP 298 OP 302 LK http://dx.doi.org/https://doi.org/10.1109/ICMTMA54903.2022.00064 DO https://doi.org/10.1109/ICMTMA54903.2022.00064 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)