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
Improved Deep Learning Laryngeal Tumour Identification:
, In:
2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)
,
Hussain, Mohammad Shahnawaz
;
H, Malathi
;
Savita
- p. 962-967 , 2023
Link:
https://doi.org/10.1109/ICAICCIT60255.2023.10466197
RT T1
2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)
: T1
Improved Deep Learning Laryngeal Tumour Identification
UL https://suche.suub.uni-bremen.de/peid=ieee-10466197&Exemplar=1&LAN=DE A1 Hussain, Mohammad Shahnawaz A1 H, Malathi A1 Savita YR 2023 K1 Training K1 Head K1 Medical services K1 Cancer detection K1 Real-time systems K1 Neck K1 Reliability K1 Laryngeal cancer K1 Deep learning K1 Mask R-CNN K1 CT images K1 Early detection K1 Diagnostic techniques K1 Image datasets K1 Patient screening K1 Radiomic analysis K1 CNN architecture K1 Real-time diagnosis SP 962 OP 967 LK http://dx.doi.org/https://doi.org/10.1109/ICAICCIT60255.2023.10466197 DO https://doi.org/10.1109/ICAICCIT60255.2023.10466197 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)