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
Efficient-Net ASPP Deep Network for Malignant Ultrasound Br..:
, In:
2023 IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T)
,
Azam, Komal
;
Azam, Muhammad Ashir
;
Qureshi, Muhammad Ali
.. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICEST56843.2023.10138837
RT T1 <cTitle>2023 IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T)</cTitle>: T1 <Title>Efficient-Net ASPP Deep Network for Malignant Ultrasound Breast Cancer Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10138837&Exemplar=1&LAN=DE A1 Azam, Komal A1 Azam, Muhammad Ashir A1 Qureshi, Muhammad Ali A1 Khan, Khan Bahadar A1 Azam, Muhammad Adeel YR 2023 K1 Measurement K1 Deep learning K1 Image segmentation K1 Analytical models K1 Ultrasonic imaging K1 Semantic segmentation K1 Benchmark testing K1 Breast Malignant Cancer K1 Segmentation K1 Efficient-Net ASPP K1 Ultrasound Breast Images K1 Deep Learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICEST56843.2023.10138837 DO https://doi.org/10.1109/ICEST56843.2023.10138837 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
