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
Cancer Diagnosis through Contour Visualization of Gene Expr..:
Venkatesan, Vinoth Kumar
;
Kuppusamy Murugesan, Karthick Raghunath
;
Chandrasekaran, Kaladevi Amarakundhi
...
Diagnostics. 13 (2023) 22 - p. 3452 , 2023
Link:
https://doi.org/10.3390/diagnostics13223452
RT Journal T1
Cancer Diagnosis through Contour Visualization of Gene Expression Leveraging Deep Learning Techniques
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_diagnostics13223452&Exemplar=1&LAN=DE A1 Venkatesan, Vinoth Kumar A1 Kuppusamy Murugesan, Karthick Raghunath A1 Chandrasekaran, Kaladevi Amarakundhi A1 Thyluru Ramakrishna, Mahesh A1 Khan, Surbhi Bhatia A1 Almusharraf, Ahlam A1 Albuali, Abdullah PB MDPI AG YR 2023 SN 2075-4418 JF Diagnostics VO 13 IS 22 SP 3452 LK http://dx.doi.org/https://doi.org/10.3390/diagnostics13223452 DO https://doi.org/10.3390/diagnostics13223452 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)