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
Pupil Detection and Segmentation for Diagnosis of Nystagmus..:
, In:
2022 International Conference on Electronics, Information, and Communication (ICEIC)
,
Lee, Yerin
;
Lee, Sena
;
Jang, Seunghyun
... - p. 1-2 , 2022
Link:
https://doi.org/10.1109/ICEIC54506.2022.9748687
RT T1 <cTitle>2022 International Conference on Electronics, Information, and Communication (ICEIC)</cTitle>: T1 <Title>Pupil Detection and Segmentation for Diagnosis of Nystagmus with U-Net</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9748687&Exemplar=1&LAN=DE A1 Lee, Yerin A1 Lee, Sena A1 Jang, Seunghyun A1 Wang, Hyeong Jun A1 Seo, Young Joon A1 Yang, Sejung YR 2022 SN 2767-7699 K1 Training K1 Deep learning K1 Tracking K1 Data models K1 Trajectory K1 Pupils K1 Eye protection K1 nystagmus K1 nystagmography K1 pupil segmentation K1 deep learning SP 1 OP 2 LK http://dx.doi.org/https://doi.org/10.1109/ICEIC54506.2022.9748687 DO https://doi.org/10.1109/ICEIC54506.2022.9748687 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
