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
Convolutional Neural Network Design for Breast Cancer Medic..:
, In:
2020 IEEE 20th International Conference on Communication Technology (ICCT)
,
Yu, Yongbin
;
Favour, Ekong
;
Mazumder, Pinaki
- p. 1325-1332 , 2020
Link:
https://doi.org/10.1109/ICCT50939.2020.9295909
RT T1
2020 IEEE 20th International Conference on Communication Technology (ICCT)
: T1
Convolutional Neural Network Design for Breast Cancer Medical Image Classification
UL https://suche.suub.uni-bremen.de/peid=ieee-9295909&Exemplar=1&LAN=DE A1 Yu, Yongbin A1 Favour, Ekong A1 Mazumder, Pinaki YR 2020 SN 2576-7828 K1 Biomedical imaging K1 Medical diagnostic imaging K1 Image segmentation K1 Image classification K1 Computational modeling K1 Image recognition K1 Feature extraction K1 Convolutional neural network (CNN) K1 deep learning K1 image segmentation K1 image classification SP 1325 OP 1332 LK http://dx.doi.org/https://doi.org/10.1109/ICCT50939.2020.9295909 DO https://doi.org/10.1109/ICCT50939.2020.9295909 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)