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
Disease Classification based on Dermoscopic Skin Images Usi..:
, In:
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)
,
Purnama, I Ketut Eddy
;
Hernanda, Arta Kusuma
;
Ratna, Anak Agung Putri
... - p. 1-5 , 2019
Link:
https://doi.org/10.1109/CENIM48368.2019.8973303
RT T1
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)
: T1
Disease Classification based on Dermoscopic Skin Images Using Convolutional Neural Network in Teledermatology System
UL https://suche.suub.uni-bremen.de/peid=ieee-8973303&Exemplar=1&LAN=DE A1 Purnama, I Ketut Eddy A1 Hernanda, Arta Kusuma A1 Ratna, Anak Agung Putri A1 Nurtanio, Ingrid A1 Hidayati, Afif Nurul A1 Purnomo, Mauridhi Hery A1 Nugroho, Supeno Mardi Susiki A1 Rachmadi, Reza Fuad YR 2019 K1 Skin Diseases K1 Dermoscopic Image K1 Deep Learning K1 Convolutional Neural Network SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/CENIM48368.2019.8973303 DO https://doi.org/10.1109/CENIM48368.2019.8973303 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)