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
Anomaly Detection for Skin Lesion Images Using Convolutiona..:
Grignaffini, Flavia
;
Troiano, Maurizio
;
Barbuto, Francesco
...
Algorithms. 16 (2023) 10 - p. 466 , 2023
Link:
https://doi.org/10.3390/a16100466
RT Journal T1
Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_a16100466&Exemplar=1&LAN=DE A1 Grignaffini, Flavia A1 Troiano, Maurizio A1 Barbuto, Francesco A1 Simeoni, Patrizio A1 Mangini, Fabio A1 D'Andrea, Gabriele A1 Piazzo, Lorenzo A1 Cantisani, Carmen A1 Musolff, Noah A1 Ricciuti, Costantino A1 Frezza, Fabrizio PB MDPI AG YR 2023 SN 1999-4893 JF Algorithms VO 16 IS 10 SP 466 LK http://dx.doi.org/https://doi.org/10.3390/a16100466 DO https://doi.org/10.3390/a16100466 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)