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
An Effective Identification of Tuberculosis in Chest X-rays..:
, In:
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
,
Hossain, Sazzad
;
Islam, Ariful
;
Lima, Sweety
... - p. 646-651 , 2024
Link:
https://doi.org/10.1109/ICEEICT62016.2024.10534374
RT T1 <cTitle>2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)</cTitle>: T1 <Title>An Effective Identification of Tuberculosis in Chest X-rays Using Convolutional Neural Network Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10534374&Exemplar=1&LAN=DE A1 Hossain, Sazzad A1 Islam, Ariful A1 Lima, Sweety A1 Ridoy, Md. Saharior A1 Rahman, Md. Mohaimenur A1 Sharmin, Shobnom YR 2024 SN 2769-5700 K1 Training K1 Tuberculosis K1 Mortality rate K1 Computer architecture K1 Convolutional neural networks K1 X-ray imaging K1 Biomedical imaging K1 CNN K1 Image classification K1 Deep learning K1 Tuberculosis diagnosis K1 ResNet K1 DenseNet SP 646 OP 651 LK http://dx.doi.org/https://doi.org/10.1109/ICEEICT62016.2024.10534374 DO https://doi.org/10.1109/ICEEICT62016.2024.10534374 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
