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
Binary Brain Tumor Classification With Semantic Features Us..:
, In:
2022 Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)
,
Minh Sao Khue, Luu
;
Pavlovskiy, Evgeniy
- p. 044-047 , 2022
Link:
https://doi.org/10.1109/USBEREIT56278.2022.9923403
RT T1 <cTitle>2022 Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)</cTitle>: T1 <Title>Binary Brain Tumor Classification With Semantic Features Using Convolutional Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9923403&Exemplar=1&LAN=DE A1 Minh Sao Khue, Luu A1 Pavlovskiy, Evgeniy YR 2022 K1 Training K1 Image segmentation K1 Sensitivity K1 Semantics K1 Medical services K1 Convolutional neural networks K1 Task analysis K1 brain tumor classification K1 deep learning K1 biomedical images processing K1 convolutional neural networks SP 044 OP 047 LK http://dx.doi.org/https://doi.org/10.1109/USBEREIT56278.2022.9923403 DO https://doi.org/10.1109/USBEREIT56278.2022.9923403 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
