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
Bounding Box Based Weakly Supervised Deep Convolutional Neu..:
, In:
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
,
Mahani, Golnar K.
;
Li, Ruizhe
;
Evangelou, Nikolaos
... - p. 1-5 , 2022
Link:
https://doi.org/10.1109/ISBI52829.2022.9761558
RT T1 <cTitle>2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)</cTitle>: T1 <Title>Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9761558&Exemplar=1&LAN=DE A1 Mahani, Golnar K. A1 Li, Ruizhe A1 Evangelou, Nikolaos A1 Sotiropolous, Stamatios A1 Morgan, Paul S. A1 French, Andrew P. A1 Chen, Xin YR 2022 SN 1945-8452 K1 Training K1 Image segmentation K1 Uncertainty K1 Three-dimensional displays K1 Annotations K1 Predictive models K1 Skin K1 Bounding box K1 weakly supervised learning K1 DCNN K1 conditional random field K1 uncertainty SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISBI52829.2022.9761558 DO https://doi.org/10.1109/ISBI52829.2022.9761558 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
