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
U-Net for nuclei image segmentation:
, In:
International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023)
,
Srivastava, R.
;
Chauhan, K.
;
Prasad, R.
- p. None , 2023
Link:
https://doi.org/10.1049/icp.2023.1821
RT T1
International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023)
: T1
U-Net for nuclei image segmentation
UL https://suche.suub.uni-bremen.de/peid=ieee-10269186&Exemplar=1&LAN=DE A1 Srivastava, R. A1 Chauhan, K. A1 Prasad, R. YR 2023 K1 biomedical optical imaging K1 cellular biophysics K1 deep learning (artificial intelligence) K1 DNA K1 feature extraction K1 genetics K1 image segmentation K1 medical image processing K1 biomedical image segmentation K1 common cold K1 deep learning techniques K1 genetic information K1 high-quality nuclei features K1 high-resolution nuclei images K1 living being K1 membrane-bound organelle K1 nuclei image segmentation K1 nucleus identification SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1821 DO https://doi.org/10.1049/icp.2023.1821 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)