Deep learning for medical image processing: overview, challenges and the future Razzak, Muhammad Imran, Naz, Saeeda and Zaib, Ahmad 2018, Deep learning for medical image processing: overview, challenges and the future. In Dey, Nilanjan, Ashour, Amira S. and Borra, Surekha (ed), Classification in BioApps: Automation of Decision Making, Springer, Cham, Switzerland, pp.323-350, doi: 10.1007/978-3-319-65981-7_12. Attached Files Name Description MIMEType Size Downloads razzak-deeplearning-post-2018.pdf Accepted version application/pdf 1.02MB 20 Title Deep learning for medical image processing: overview, challenges and the future Author(s) Razzak, Muhammad Imran orcid.org/0000-0002-3930-6600 Naz, Saeeda Zaib, Ahmad Title of book Classification in BioApps: Automation of Decision Making Editor(s) Dey, Nilanjan Ashour, Amira S. Borra, Surekha Publication date 2018 Series Lecture notes in computational vision and biomechanics; v.26 Chapter number 12 Total chapters 15 Start page 323 End page 350 Total pages 28 Publisher Springer Place of Publication Cham, Switzerland Keyword(s) Deep learning Medical image analysis Image analysis ISBN 3319659812 9783319659817 ISSN 2212-9391 2212-9413 Edition 1st Language eng DOI 10.1007/978-3-319-65981-7_12 Indigenous content off HERDC Research category B1.1 Book chapter Copyright notice ©2018, Springer International Publishing AG. Free to Read? Yes Free to Read Start Date 2019-11-15 Persistent URL http://hdl.handle.net/10536/DRO/DU:30132524 Document type: Book Chapter Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) 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. 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. Versions Version Filter Type Tue, 26 Nov 2019, 07:48:35 EST Wed, 27 Nov 2019, 04:00:15 EST Wed, 27 Nov 2019, 05:03:24 EST Wed, 04 Dec 2019, 14:46:52 EST Wed, 04 Dec 2019, 14:56:52 EST Fri, 20 Dec 2019, 11:18:38 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 96 times in Scopus Search Google Scholar Access Statistics: 118 Abstract Views, 22 File Downloads  -  Detailed Statistics Created: Tue, 26 Nov 2019, 07:48:35 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.