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
Identifying Melanoma Skin Disease Using Convolutional Neura..:
, In:
2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
,
Kaushik, Priyanka
;
Rathore, Rachna
;
Kumar, Aditya
... - p. 1-4 , 2024
Link:
https://doi.org/10.1109/IATMSI60426.2024.10502880
RT T1
2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
: T1
Identifying Melanoma Skin Disease Using Convolutional Neural Network DenseNet-121
UL https://suche.suub.uni-bremen.de/peid=ieee-10502880&Exemplar=1&LAN=DE A1 Kaushik, Priyanka A1 Rathore, Rachna A1 Kumar, Aditya A1 Kanishka A1 Goshi, Ganpat A1 Sharma, Priyanshu YR 2024 K1 Adaptation models K1 Ethics K1 Analytical models K1 Technological innovation K1 Collaboration K1 Melanoma K1 Skin K1 Dermatology K1 Medical Imaging K1 Precision Analysis K1 DenseNet-121 SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/IATMSI60426.2024.10502880 DO https://doi.org/10.1109/IATMSI60426.2024.10502880 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)