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
RETRACTED: Nobel et al. Modern Subtype Classification and O..:
Nobel, S. M. Nuruzzaman
;
Swapno, S M Masfequier Rahman
;
Hossain, Md. Ashraful
...
Tomography. 10 (2024) 4 - p. 520-520 , 2024
Link:
https://doi.org/10.3390/tomography10040040
RT Journal T1
RETRACTED: Nobel et al. Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis. Tomography 2024, 10, 105–132
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_tomography10040040&Exemplar=1&LAN=DE A1 Nobel, S. M. Nuruzzaman A1 Swapno, S M Masfequier Rahman A1 Hossain, Md. Ashraful A1 Safran, Mejdl A1 Alfarhood, Sultan A1 Kabir, Md. Mohsin A1 Mridha, M. F. PB MDPI AG YR 2024 SN 2379-139X JF Tomography VO 10 IS 4 SP 520 OP 520 LK http://dx.doi.org/https://doi.org/10.3390/tomography10040040 DO https://doi.org/10.3390/tomography10040040 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)