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
Deep Learning for Automated Classification of Kidney Lesion..:
, In:
2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
,
Lakshmi, B. Seetha
;
Anand R, Vijay
;
Omotunde, Habeeb
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICICACS60521.2024.10498835
RT T1
2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
: T1
Deep Learning for Automated Classification of Kidney Lesions in Chronic Kidney Disease Patients
UL https://suche.suub.uni-bremen.de/peid=ieee-10498835&Exemplar=1&LAN=DE A1 Lakshmi, B. Seetha A1 Anand R, Vijay A1 Omotunde, Habeeb A1 Birundadevi, M. A1 S, Mahalakshmi A1 Brahmam, Madala Guru YR 2024 K1 Deep learning K1 Training K1 Ethics K1 Transforms K1 Chronic kidney disease K1 Lesions K1 Integrated circuit modeling K1 Chronic Kidney Disease K1 Deep Learning K1 Kidney Lesions K1 Medical Image Analysis K1 Automated Classification K1 Diagnostic Accuracy SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICICACS60521.2024.10498835 DO https://doi.org/10.1109/ICICACS60521.2024.10498835 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)