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 comparative study for nuclei segmentation using latest de..:
, In:
2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)
,
Eltayab, Engy N
;
Al-Atabany, Walid
;
Salem, Nancy M.
. - p. 295-299 , 2023
Link:
https://doi.org/10.1109/NILES59815.2023.10296591
RT T1 <cTitle>2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)</cTitle>: T1 <Title>A comparative study for nuclei segmentation using latest deep learning optimizers</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10296591&Exemplar=1&LAN=DE A1 Eltayab, Engy N A1 Al-Atabany, Walid A1 Salem, Nancy M. A1 Mahmoud, Lamees N. YR 2023 K1 Deep learning K1 Training K1 Image segmentation K1 Adaptation models K1 Microscopy K1 Watersheds K1 Fluorescence K1 Ranger optimizer K1 Attention U-Net K1 Trans Unet K1 2D cell nuclei segmentation SP 295 OP 299 LK http://dx.doi.org/https://doi.org/10.1109/NILES59815.2023.10296591 DO https://doi.org/10.1109/NILES59815.2023.10296591 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
