You are not logged in.

A deep-structural medical image classification for a Radon-based image retrieval

Khatami, Seyedamin, Babaie, Morteza, Khosravi, Abbas, Tizhoosh, H. R., Salaken, Syed Moshfeq and Nahavandi, Saeid 2017, A deep-structural medical image classification for a Radon-based image retrieval, in CCECE 2017 : Proceedings of the IEEE 30th Canadian Conference on Electrical and Computer Engineering, IEEE, Piscataway, N.J., pp. 1-4, doi: 10.1109/CCECE.2017.7946756.

Attached Files
Name Description MIMEType Size Downloads

Title A deep-structural medical image classification for a Radon-based image retrieval
Author(s) Khatami, Seyedamin
Babaie, Morteza
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Tizhoosh, H. R.
Salaken, Syed Moshfeq
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name Electrical and Computer Engineering. IEEE Canadian Conference (30th : 2017 : Windsor, Ontario)
Conference location Windsor, Ontario
Conference dates 2017/04/30 - 2017/05/03
Title of proceedings CCECE 2017 : Proceedings of the IEEE 30th Canadian Conference on Electrical and Computer Engineering
Publication date 2017
Conference series IEEE Canadian Conference on Electrical and Computer Engineering
Start page 1
End page 4
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
ISBN 9781509055388
ISSN 0840-7789
Language eng
DOI 10.1109/CCECE.2017.7946756
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30101555

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 4 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 44 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Mon, 16 Oct 2017, 09:49:35 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.