Convolutional neural network for medical image classification using wavelet features Khatami, Amin, Nazari, Asef, Beheshti, Amin, Nguyen, Thanh Thi, Nahavandi, Saeid and Zieba, Jerzy 2020, Convolutional neural network for medical image classification using wavelet features, in IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-8, doi: 10.1109/ijcnn48605.2020.9206791. Attached Files Name Description MIMEType Size Downloads Title Convolutional neural network for medical image classification using wavelet features Author(s) Khatami, Amin Nazari, Asef orcid.org/0000-0003-4955-9684 Beheshti, Amin Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Zieba, Jerzy Conference name IEEE Computational Intelligence Society. Conference (2020 : Online from Glasgow, Scotland) Conference location Online from Glasgow, Scotland Conference dates 2020/07/19 - 2020/07/24 Title of proceedings IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks Editor(s) [Unknown] Publication date 2020 Series IEEE Computational Intelligence Society Conference Start page 1 End page 8 Total pages 8 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) convolutional neural network deep learning classification wavelet medical imaging Notes This conference was originally scheduled to be held in Glasgow, Scotland, however due to the 2020 COVID Pandemic, the event was held online. ISBN 978-1-7281-6926-2 Language eng DOI 10.1109/ijcnn48605.2020.9206791 Indigenous content off Field of Research 080108 Neural, Evolutionary and Fuzzy Computation 080109 Pattern Recognition and Data Mining Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30141025 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 21 Aug 2020, 13:15:07 EST Fri, 21 Aug 2020, 13:15:45 EST Sat, 22 Aug 2020, 05:00:48 EST Mon, 24 Aug 2020, 08:04:35 EST Tue, 06 Oct 2020, 14:29:59 EST Tue, 06 Oct 2020, 14:30:34 EST Thu, 08 Oct 2020, 05:03:12 EST Tue, 13 Oct 2020, 09:29:18 EST Tue, 13 Oct 2020, 09:32:12 EST Tue, 13 Oct 2020, 09:33:52 EST Sat, 07 Nov 2020, 01:31:49 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 61 Abstract Views, 7 File Downloads  -  Detailed Statistics Created: Tue, 06 Oct 2020, 14:30:34 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.