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
Cost-Effective and Non-Invasive Automated Benign & Malignan..:
Acharya, U. R.
;
Faust, O.
;
Sree, S. V.
...
Technology in Cancer Research & Treatment. 10 (2011) 4 - p. 371-380 , 2011
Link:
https://doi.org/10.7785/tcrt.2012.500214
RT Journal T1
Cost-Effective and Non-Invasive Automated Benign & Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan™ Algorithms
UL https://suche.suub.uni-bremen.de/peid=cr-10.7785_tcrt.2012.500214&Exemplar=1&LAN=DE A1 Acharya, U. R. A1 Faust, O. A1 Sree, S. V. A1 Molinari, F. A1 Garberoglio, R. A1 Suri, J. S. PB SAGE Publications YR 2011 SN 1533-0346 SN 1533-0338 JF Technology in Cancer Research & Treatment VO 10 IS 4 SP 371 OP 380 LK http://dx.doi.org/https://doi.org/10.7785/tcrt.2012.500214 DO https://doi.org/10.7785/tcrt.2012.500214 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)