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
Deep-learning based segmentation of challenging myelin shea..:
, In:
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
,
Couedic, Thomas Le
;
Caillon, Raphael
;
Rossant, Florence
... - p. 1-6 , 2020
Link:
https://doi.org/10.1109/IPTA50016.2020.9286715
RT T1 <cTitle>2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)</cTitle>: T1 <Title>Deep-learning based segmentation of challenging myelin sheaths</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9286715&Exemplar=1&LAN=DE A1 Couedic, Thomas Le A1 Caillon, Raphael A1 Rossant, Florence A1 Joutel, Anne A1 Urien, Helene A1 Rajani, Rikesh M. YR 2020 SN 2154-512X K1 Image segmentation K1 Axons K1 Spinal cord K1 Senior citizens K1 Tools K1 White matter K1 Task analysis K1 deep learning K1 segmentation K1 myelin K1 axon K1 g-ratio K1 convolutional neural network (CNN) K1 electron microscopy SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IPTA50016.2020.9286715 DO https://doi.org/10.1109/IPTA50016.2020.9286715 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
