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
Triaging subjects with palpable breast masses for biopsy, f..:
, In:
2022 IEEE International Ultrasonics Symposium (IUS)
,
Mitra, Jhimli
;
Ghose, Soumya
;
Ginty, Fiona
... - p. 1-4 , 2022
Link:
https://doi.org/10.1109/IUS54386.2022.9957209
RT T1
2022 IEEE International Ultrasonics Symposium (IUS)
: T1
Triaging subjects with palpable breast masses for biopsy, follow-up or treatment using AI applied to breast ultrasound in a low-resource setting - A feasibility study
UL https://suche.suub.uni-bremen.de/peid=ieee-9957209&Exemplar=1&LAN=DE A1 Mitra, Jhimli A1 Ghose, Soumya A1 Ginty, Fiona A1 Berg, Wendie A. A1 Cen, Steven A1 Larsen, Linda H. A1 Dauphine, Christine A1 Cho, Sanghee A1 Love, Susan A1 Davis, Cynthia YR 2022 SN 1948-5727 K1 Ultrasonic imaging K1 Biopsy K1 Medical treatment K1 Breast K1 Developing countries K1 Lesions K1 Standards K1 Ultrasound K1 breast lesion classification K1 estrogen receptor status K1 computer-aided diagnosis K1 artificial intelligence SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/IUS54386.2022.9957209 DO https://doi.org/10.1109/IUS54386.2022.9957209 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)