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
Automatic endometrial segmentation in ultrasound images usi..:
, In:
2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
,
Liu, Yiyang
;
Peng, Boyuan
;
Zhu, Xin
... - p. 67-71 , 2022
Link:
https://doi.org/10.1109/MCSoC57363.2022.00020
RT T1
2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
: T1
Automatic endometrial segmentation in ultrasound images using deep learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10008417&Exemplar=1&LAN=DE A1 Liu, Yiyang A1 Peng, Boyuan A1 Zhu, Xin A1 Wang, Wenwen A1 Zhou, Qin A1 Wang, Shixuan A1 Jiang, Jingjing A1 Fang, Li YR 2022 SN 2771-3075 K1 Training K1 Deep learning K1 Image segmentation K1 Ultrasonic imaging K1 Network architecture K1 Convolutional neural networks K1 Task analysis K1 endometrium K1 semantic segmentation K1 transvaginal sonography SP 67 OP 71 LK http://dx.doi.org/https://doi.org/10.1109/MCSoC57363.2022.00020 DO https://doi.org/10.1109/MCSoC57363.2022.00020 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)