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
Accurate and Efficient Brain Tumor Segmentation using trans..:
, In:
2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
,
Kumar, Sanjay
;
Agarwal, Vivek
;
Sharma, Vishnu
... - p. 683-689 , 2023
Link:
https://doi.org/10.1109/ICAC3N60023.2023.10541530
RT T1 <cTitle>2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)</cTitle>: T1 <Title>Accurate and Efficient Brain Tumor Segmentation using transfer learning and residual networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10541530&Exemplar=1&LAN=DE A1 Kumar, Sanjay A1 Agarwal, Vivek A1 Sharma, Vishnu A1 Garg, Saksham A1 Sharma, Manish Kumar A1 Gupta, Riya A1 Prashant, Shubham YR 2023 K1 Deep learning K1 Training K1 Image segmentation K1 Three-dimensional displays K1 Magnetic resonance imaging K1 Transfer learning K1 Brain modeling K1 MRI K1 Tumor K1 Cancer K1 TCIA K1 image net K1 ResUnet SP 683 OP 689 LK http://dx.doi.org/https://doi.org/10.1109/ICAC3N60023.2023.10541530 DO https://doi.org/10.1109/ICAC3N60023.2023.10541530 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
