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
Automated Cell Counting System Using Improved Implicit Acti..:
, In:
2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
,
Sultan, Salman Md.
;
Mollika, Mubina Tarannum
;
Fahim, Sharvi Ahmed
... - p. 1-4 , 2023
Link:
https://doi.org/10.1109/ECBIOS57802.2023.10218482
RT T1 <cTitle>2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)</cTitle>: T1 <Title>Automated Cell Counting System Using Improved Implicit Activation Based U-Net (IA-U-Net)</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10218482&Exemplar=1&LAN=DE A1 Sultan, Salman Md. A1 Mollika, Mubina Tarannum A1 Fahim, Sharvi Ahmed A1 Alam, Tahira A1 Mohammed, Alaelddin F. Y. A1 Islam, Tanzina YR 2023 K1 Deep learning K1 Machine learning algorithms K1 Microprocessors K1 Simulation K1 Semantic segmentation K1 Computer architecture K1 Manuals K1 deep learning K1 U-net K1 automated cell counting SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ECBIOS57802.2023.10218482 DO https://doi.org/10.1109/ECBIOS57802.2023.10218482 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
