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
Tumor–Stroma Ratio in Colorectal Cancer—Comparison between ..:
Daniel Firmbach
;
Michaela Benz
;
Petr Kuritcyn
...
Cancer Informatics and Big Data. , 2023
Link:
https://doi.org/10.3390/cancers15102675
RT Journal T1
Tumor–Stroma Ratio in Colorectal Cancer—Comparison between Human Estimation and Automated Assessment
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2072-6694_15_10_2675_&Exemplar=1&LAN=DE A1 Daniel Firmbach A1 Michaela Benz A1 Petr Kuritcyn A1 Volker Bruns A1 Corinna Lang-Schwarz A1 Frederik A. Stuebs A1 Susanne Merkel A1 Leah-Sophie Leikauf A1 Anna-Lea Braunschweig A1 Angelika Oldenburger A1 Laura Gloßner A1 Niklas Abele A1 Christine Eck A1 Christian Matek A1 Arndt Hartmann A1 Carol I. Geppert PB Multidisciplinary Digital Publishing Institute YR 2023 K1 segmentation K1 deep learning K1 image analysis K1 few-shot learning K1 U-Net K1 tumor–stroma ratio K1 colorectal cancer JF Cancer Informatics and Big Data LK http://dx.doi.org/https://doi.org/10.3390/cancers15102675 DO https://doi.org/10.3390/cancers15102675 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)