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
Multimodal Lung Cancer Subtyping Using Deep Learning Neural..:
Janßen, Charlotte
;
Boskamp, Tobias
;
Le'Clerc Arrastia, Jean
...
Cancers. 14 (2022) 24 - p. 6181 , 2022
Link:
https://doi.org/10.3390/cancers14246181
RT Journal T1
Multimodal Lung Cancer Subtyping Using Deep Learning Neural Networks on Whole Slide Tissue Images and MALDI MSI
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_cancers14246181&Exemplar=1&LAN=DE A1 Janßen, Charlotte A1 Boskamp, Tobias A1 Le'Clerc Arrastia, Jean A1 Otero Baguer, Daniel A1 Hauberg-Lotte, Lena A1 Kriegsmann, Mark A1 Kriegsmann, Katharina A1 Steinbuß, Georg A1 Casadonte, Rita A1 Kriegsmann, Jörg A1 Maaß, Peter PB MDPI AG YR 2022 SN 2072-6694 JF Cancers VO 14 IS 24 SP 6181 LK http://dx.doi.org/https://doi.org/10.3390/cancers14246181 DO https://doi.org/10.3390/cancers14246181 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)