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
Automatic Segmentation of Prostate Structures Using a Convo..:
, In:
Proceedings of the Third International Symposium on Image Computing and Digital Medicine
,
Huang, Xunan
;
Liu, Bo
;
Hao, Jiaxue
... - p. 92-96 , 2019
Link:
https://dl.acm.org/doi/10.1145/3364836.3364855
RT T1
Proceedings of the Third International Symposium on Image Computing and Digital Medicine
: T1
Automatic Segmentation of Prostate Structures Using a Convolutional Neural Network from Multiparametric MRI
UL https://suche.suub.uni-bremen.de/peid=acm-3364855&Exemplar=1&LAN=DE A1 Huang, Xunan A1 Liu, Bo A1 Hao, Jiaxue A1 Nguyen, Huyen A1 Knopp, Michael V. A1 Miao, Qiguang A1 Jia, Guang PB ACM YR 2019 K1 Convolutional neural network K1 multiparametric MRI K1 prostate cancer K1 segmentation K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Image segmentation SP 92 OP 96 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3364836.3364855 DO https://dl.acm.org/doi/10.1145/3364836.3364855 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)