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
Enhancing Lung Cancer Detection and Localization with a Hyb..:
, In:
2024 Systems and Information Engineering Design Symposium (SIEDS)
,
Kumar, K Nithish
;
V C, Sai Santhosh
;
Mane, Aniket
... - p. 280-285 , 2024
Link:
https://doi.org/10.1109/SIEDS61124.2024.10534680
RT T1
2024 Systems and Information Engineering Design Symposium (SIEDS)
: T1
Enhancing Lung Cancer Detection and Localization with a Hybrid VGG-19 and Adaptive Neuro-Fuzzy Inference System (ANFIS) Approach on Imaging Data
UL https://suche.suub.uni-bremen.de/peid=ieee-10534680&Exemplar=1&LAN=DE A1 Kumar, K Nithish A1 V C, Sai Santhosh A1 Mane, Aniket A1 K, Rahimunnisa A1 Nirmal, G. A1 Vaghulade, Maitreya YR 2024 SN 2994-3531 K1 Fuzzy logic K1 Deep learning K1 Adaptation models K1 Adaptive systems K1 Neural networks K1 Lung cancer K1 Lung K1 Adaptive Neuro-Fuzzy Inference System (ANFIS) K1 Preprocessing K1 Convolutional Neural Networks (CNN) K1 X-Ray K1 Transfer Learning K1 VGG-19 SP 280 OP 285 LK http://dx.doi.org/https://doi.org/10.1109/SIEDS61124.2024.10534680 DO https://doi.org/10.1109/SIEDS61124.2024.10534680 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)