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
Bi-Unet: Encoder-decoder Based Network for Lesion Segmentat..:
, In:
Proceedings of the 2023 International Joint Conference on Robotics and Artificial Intelligence
,
Zheng, Lin Jin
;
Meng, Ming De
;
Yu, Bo Hai
.. - p. 59-64 , 2023
Link:
https://dl.acm.org/doi/10.1145/3632971.3632997
RT T1
Proceedings of the 2023 International Joint Conference on Robotics and Artificial Intelligence
: T1
Bi-Unet: Encoder-decoder Based Network for Lesion Segmentation of Diabetic Retinopathy Images
UL https://suche.suub.uni-bremen.de/peid=acm-3632997&Exemplar=1&LAN=DE A1 Zheng, Lin Jin A1 Meng, Ming De A1 Yu, Bo Hai A1 Hao, Ran Ze A1 Niu, Tian Da PB ACM YR 2023 K1 Computing methodologies K1 Artificial intelligence K1 Machine learning K1 Applied computing K1 Life and medical sciences K1 Computer vision K1 Computer vision problems K1 Image segmentation SP 59 OP 64 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3632971.3632997 DO https://dl.acm.org/doi/10.1145/3632971.3632997 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)