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
Brain Tumor Detection and Segmentation Using Deep Learning ..:
, In:
Proceedings of Fifth International Conference on Computer and Communication Technologies; Lecture Notes in Networks and Systems
,
Sireesha, Marri
;
Sunitha, Gurram
;
Prasanna Babu, J.
... - p. 143-151 , 2024
Link:
https://doi.org/10.1007/978-981-99-9707-7_13
RT T1
Proceedings of Fifth International Conference on Computer and Communication Technologies; Lecture Notes in Networks and Systems
: T1
Brain Tumor Detection and Segmentation Using Deep Learning Models with Dual Attention Mechanism
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-99-9707-7_13&Exemplar=1&LAN=DE A1 Sireesha, Marri A1 Sunitha, Gurram A1 Prasanna Babu, J. A1 Yelisetti, Uma Mythraye A1 Tarannum, Bushra A1 Reddy Madhavi, K. A1 Goundar, Sam PB Springer Nature Singapore YR 2024 SP 143 OP 151 LK http://dx.doi.org/https://doi.org/10.1007/978-981-99-9707-7_13 DO https://doi.org/10.1007/978-981-99-9707-7_13 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)