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
Faster R-CNN based on Optimized SqueezeNet for Liver Lesion..:
, In:
Proceedings of the 5th International Conference on Graphics and Signal Processing
,
Alkhaleefah, Mohammad
;
Tan, Tan-Hsu
;
Achhannagari, Vishnu Priya
... - p. 20-26 , 2021
Link:
https://dl.acm.org/doi/10.1145/3474906.3474914
RT T1 <cTitle>Proceedings of the 5th International Conference on Graphics and Signal Processing</cTitle>: T1 <Title>Faster R-CNN based on Optimized SqueezeNet for Liver Lesion Detection from DeepLesion Dataset</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3474914&Exemplar=1&LAN=DE A1 Alkhaleefah, Mohammad A1 Tan, Tan-Hsu A1 Achhannagari, Vishnu Priya A1 Ma, Shang-Chih A1 Tsai, Min-Jui A1 Chang, Yang-Lang PB ACM YR 2021 K1 DeepLesion K1 Faster R-CNN K1 SqueezeNet K1 feature extraction K1 liver lesion detection K1 Computing methodologies K1 Artificial intelligence K1 Machine learning K1 Applied computing K1 Life and medical sciences K1 Computer vision K1 Computer vision problems K1 Machine learning approaches K1 Neural networks SP 20 OP 26 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3474906.3474914 DO https://dl.acm.org/doi/10.1145/3474906.3474914 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
