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
Comparative Study On Breast Cancer Classification Using Mul..:
, In:
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
,
Hossinq, Md. Murad
;
Molla, Shourav
;
Javed Mehedi Shamrat, F. M.
... - p. 1081-1088 , 2022
Link:
https://doi.org/10.1109/ICOSEC54921.2022.9951881
RT T1
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
: T1
Comparative Study On Breast Cancer Classification Using Multiple Convolution Neural Network Architectures
UL https://suche.suub.uni-bremen.de/peid=ieee-9951881&Exemplar=1&LAN=DE A1 Hossinq, Md. Murad A1 Molla, Shourav A1 Javed Mehedi Shamrat, F. M. A1 Samia, Mahsuba Meherunnessa A1 Saha, Rakhi Moni A1 Khater, Ankit YR 2022 K1 Training K1 Deep learning K1 Solid modeling K1 Ultrasonic imaging K1 Image resolution K1 Malignant tumors K1 Neural networks K1 Breast Cancer K1 Benign K1 Malignant K1 MobileNetV2 K1 VGG16 K1 AlexNet K1 ResNet K1 Inception V3 K1 Xception SP 1081 OP 1088 LK http://dx.doi.org/https://doi.org/10.1109/ICOSEC54921.2022.9951881 DO https://doi.org/10.1109/ICOSEC54921.2022.9951881 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)