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
Using Deep Learning with Convolutional Neural Network Appro..:
Dong, Hsiang-Chun
;
Dong, Hsiang-Kai
;
Yu, Mu-Hsien
..
International Journal of Environmental Research and Public Health. 17 (2020) 16 - p. 5993 , 2020
Link:
https://doi.org/10.3390/ijerph17165993
RT Journal T1
Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_ijerph17165993&Exemplar=1&LAN=DE A1 Dong, Hsiang-Chun A1 Dong, Hsiang-Kai A1 Yu, Mu-Hsien A1 Lin, Yi-Hsin A1 Chang, Cheng-Chang PB MDPI AG YR 2020 SN 1660-4601 JF International Journal of Environmental Research and Public Health VO 17 IS 16 SP 5993 LK http://dx.doi.org/https://doi.org/10.3390/ijerph17165993 DO https://doi.org/10.3390/ijerph17165993 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)