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
Detection Of MRI Brain Tumor Using Customized Deep Learning..:
, In:
2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)
,
Sri, Akula Shravya
;
Reddy, Bobbili Varshith
;
Balakrishna, Kanuri
... - p. 1-7 , 2023
Link:
https://doi.org/10.1109/ICRTEC56977.2023.10111887
RT T1 <cTitle>2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)</cTitle>: T1 <Title>Detection Of MRI Brain Tumor Using Customized Deep Learning Method Via Web App</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10111887&Exemplar=1&LAN=DE A1 Sri, Akula Shravya A1 Reddy, Bobbili Varshith A1 Balakrishna, Kanuri A1 Akshitha, Vollala A1 Kollem, Sreedhar A1 Prasad, Ch Rajendra YR 2023 K1 Deep learning K1 Training K1 Uncertainty K1 Sensitivity K1 Magnetic resonance imaging K1 Radiology K1 Predictive models K1 MRI scans K1 CNN model K1 Brain tumor K1 Pre-processing K1 Data augmentation SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICRTEC56977.2023.10111887 DO https://doi.org/10.1109/ICRTEC56977.2023.10111887 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
