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
BE-Net:Boudary-Enhanced Networks for Accurate Gland Segment..:
, In:
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)
,
Fan, Zhenbang
;
Dong, Sheng
;
Shi, Shuling
... - p. 600-605 , 2022
Link:
https://doi.org/10.1109/DDCLS55054.2022.9858383
RT T1 <cTitle>2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)</cTitle>: T1 <Title>BE-Net:Boudary-Enhanced Networks for Accurate Gland Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9858383&Exemplar=1&LAN=DE A1 Fan, Zhenbang A1 Dong, Sheng A1 Shi, Shuling A1 Yang, Wenqin A1 Li, Sheng A1 He, Xiongxiong YR 2022 SN 2767-9861 K1 Learning systems K1 Image segmentation K1 Pathology K1 Glands K1 Morphology K1 Control systems K1 Decoding K1 Gland image Segmentation K1 Boundary Refinement K1 Colorectal Adenocarcinoma K1 Deep Learning SP 600 OP 605 LK http://dx.doi.org/https://doi.org/10.1109/DDCLS55054.2022.9858383 DO https://doi.org/10.1109/DDCLS55054.2022.9858383 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
