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
An improved method of breast MRI segmentation with simplifi..:
, In:
Proceedings of the 2011 ACM Symposium on Research in Applied Computation
,
Kang, Donghoon
;
Shin, Sung Y.
;
Sung, Chang Oan
... - p. 226-231 , 2011
Link:
https://dl.acm.org/doi/10.1145/2103380.2103425
RT T1
Proceedings of the 2011 ACM Symposium on Research in Applied Computation
: T1
An improved method of breast MRI segmentation with simplified K-means clustered images
UL https://suche.suub.uni-bremen.de/peid=acm-2103425&Exemplar=1&LAN=DE A1 Kang, Donghoon A1 Shin, Sung Y. A1 Sung, Chang Oan A1 Kim, Jung Y. A1 Pack, Jeong-Ki A1 Choi, Hyung Do PB ACM YR 2011 K1 K-means clustering K1 breast MRI K1 segmentation K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Image segmentation K1 Video segmentation SP 226 OP 231 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2103380.2103425 DO https://dl.acm.org/doi/10.1145/2103380.2103425 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)