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
Fully automatic CNN-based segmentation of retinal bifurcati..:
, In:
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
,
Trimeche, Iyed
;
Rossant, Florence
;
Bloch, Isabelle
. - p. 1-6 , 2020
Link:
https://doi.org/10.1109/IPTA50016.2020.9286662
RT T1 <cTitle>2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)</cTitle>: T1 <Title>Fully automatic CNN-based segmentation of retinal bifurcations in 2D adaptive optics ophthalmoscopy images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9286662&Exemplar=1&LAN=DE A1 Trimeche, Iyed A1 Rossant, Florence A1 Bloch, Isabelle A1 Paques, Michel YR 2020 SN 2154-512X K1 Image segmentation K1 Neural networks K1 Bifurcation K1 Adaptive optics K1 Retinal vessels K1 Biomedical imaging K1 Active contours K1 Convolutional neural networks K1 segmentation K1 retinal vessels K1 adaptive optics ophthalmoscopy images SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IPTA50016.2020.9286662 DO https://doi.org/10.1109/IPTA50016.2020.9286662 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
