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 Robust Deep Learning Approach for Accurate Segmentation o..:
Nahida Nazir
;
Abid Sarwar
;
Baljit Singh Saini
.
https://www.mdpi.com/2079-3197/11/10/195. , 2023
Link:
https://doi.org/10.3390/computation11100195
RT Journal T1
A Robust Deep Learning Approach for Accurate Segmentation of Cytoplasm and Nucleus in Noisy Pap Smear Images
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:c48601b3606a4bf38364985e2131e063&Exemplar=1&LAN=DE A1 Nahida Nazir A1 Abid Sarwar A1 Baljit Singh Saini A1 Rafeeya Shams PB MDPI AG YR 2023 K1 cancer K1 deep learning K1 pap smear K1 semantic segmentation K1 virus K1 Electronic computers. Computer science K1 QA75.5-76.95 JF https://www.mdpi.com/2079-3197/11/10/195 LK http://dx.doi.org/https://doi.org/10.3390/computation11100195 DO https://doi.org/10.3390/computation11100195 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)