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
A study on deep learning-based classification for Pneumonia..:
, In:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
,
Won Jo, Seong
;
Seok, Jinwuk
- p. 1496-1498 , 2022
Link:
https://doi.org/10.1109/ICTC55196.2022.9952562
RT T1
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
: T1
A study on deep learning-based classification for Pneumonia detection
UL https://suche.suub.uni-bremen.de/peid=ieee-9952562&Exemplar=1&LAN=DE A1 Won Jo, Seong A1 Seok, Jinwuk YR 2022 SN 2162-1241 K1 Runtime environment K1 Convolution K1 Pulmonary diseases K1 Neural networks K1 Transforms K1 Classification algorithms K1 Information and communication technology K1 pneumonia K1 classification SP 1496 OP 1498 LK http://dx.doi.org/https://doi.org/10.1109/ICTC55196.2022.9952562 DO https://doi.org/10.1109/ICTC55196.2022.9952562 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)