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
Ultrasonographic risk stratification of indeterminate thyro..:
, In:
2020 IEEE International Ultrasonics Symposium (IUS)
,
Tahmasebi, Aylin
;
Wang, Shuo
;
Daniels, Kelly
... - p. 1-4 , 2020
Link:
https://doi.org/10.1109/IUS46767.2020.9251374
RT T1
2020 IEEE International Ultrasonics Symposium (IUS)
: T1
Ultrasonographic risk stratification of indeterminate thyroid nodules; a comparison of an artificial intelligence algorithm with radiologist performance
UL https://suche.suub.uni-bremen.de/peid=ieee-9251374&Exemplar=1&LAN=DE A1 Tahmasebi, Aylin A1 Wang, Shuo A1 Daniels, Kelly A1 Cottrill, Elizabeth A1 Liu, Ji-Bin A1 Xu, Jiajun A1 Lyshchik, Andrej A1 Eisenbrey, John R. YR 2020 SN 1948-5727 K1 Machine learning algorithms K1 Sensitivity K1 Machine learning K1 Predictive models K1 Classification algorithms K1 Thyroid K1 Image classification K1 Artificial Intelligence K1 Thyroid Nodule K1 Ultrasonography K1 Machine Learning K1 Next Generation Sequencing SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/IUS46767.2020.9251374 DO https://doi.org/10.1109/IUS46767.2020.9251374 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)