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
A Novel Assessment Technique for the Degree of Facial Symme..:
, In:
Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology
,
Lin, Hsiu-Hsia
;
Lo, Lun-Jou
;
Chiang, Wen-Chung
- p. 170-173 , 2019
Link:
https://dl.acm.org/doi/10.1145/3326172.3326222
RT T1 <cTitle>Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology</cTitle>: T1 <Title>A Novel Assessment Technique for the Degree of Facial Symmetry Before and After Orthognathic Surgery Based on Three-Dimensional Contour Features Using Deep Learning Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3326222&Exemplar=1&LAN=DE A1 Lin, Hsiu-Hsia A1 Lo, Lun-Jou A1 Chiang, Wen-Chung PB ACM YR 2019 K1 Contour map K1 Degree of facial symmetry K1 Machine learning K1 Region of interest (ROI) K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Feature selection SP 170 OP 173 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3326172.3326222 DO https://dl.acm.org/doi/10.1145/3326172.3326222 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
