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
MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colon..:
Militello, Carmelo
;
Rundo, Leonardo
;
Minafra, Luigi
...
doi:10.17863/CAM.52242. , 2020
Link:
https://doi.org/10.17863/CAM.52242
RT Journal T1
MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation
UL https://suche.suub.uni-bremen.de/peid=base-ftunivcam:oai:www.repository.cam.ac.uk:1810_305161&Exemplar=1&LAN=DE A1 Militello, Carmelo A1 Rundo, Leonardo A1 Minafra, Luigi A1 Cammarata, Francesco Paolo A1 Calvaruso, Marco A1 Conti, Vincenzo A1 Russo, Giorgio PB MDPI; Symmetry YR 2020 K1 clonogenic assay K1 automatic cell colony detection K1 spatial fuzzy c-means clustering K1 multi-feature clustering K1 entropy K1 standard deviation JF doi:10.17863/CAM.52242 LK http://dx.doi.org/https://doi.org/10.17863/CAM.52242 DO https://doi.org/10.17863/CAM.52242 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)