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
Multiclass Brain Tumor Recognition Using Convolutional Neur..:
, In:
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
,
Jony, Jahid Hasan
;
Nahid, Md. Aynul Hasan
;
Jahan, Nusrat
. - p. 1-7 , 2023
Link:
https://doi.org/10.1109/ICCCNT56998.2023.10306765
RT T1
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
: T1
Multiclass Brain Tumor Recognition Using Convolutional Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10306765&Exemplar=1&LAN=DE A1 Jony, Jahid Hasan A1 Nahid, Md. Aynul Hasan A1 Jahan, Nusrat A1 Raza, Dewan Mamun YR 2023 SN 2473-7674 K1 Training K1 Computer vision K1 Data privacy K1 Machine learning algorithms K1 Magnetic resonance imaging K1 Brain cancer K1 Machine learning K1 Deep Learning K1 Computer Vision K1 Brain Tumor SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICCCNT56998.2023.10306765 DO https://doi.org/10.1109/ICCCNT56998.2023.10306765 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)