On medical application of neural networks trained with various types of data Karako, Kenji, Chen, Ying (Ian) and Tang, Wei 2018, On medical application of neural networks trained with various types of data, BioScience Trends, vol. 12, no. 6, pp. 553-559, doi: 10.5582/bst.2018.01264. Attached Files Name Description MIMEType Size Downloads Title On medical application of neural networks trained with various types of data Author(s) Karako, Kenji Chen, Ying (Ian) orcid.org/0000-0002-7322-2224 Tang, Wei Journal name BioScience Trends Volume number 12 Issue number 6 Start page 553 End page 559 Total pages 7 Publisher International Research and Cooperation Association for Bio & Socio-Sciences Advancement Place of publication Tokyo, Japan Publication date 2018 ISSN 1881-7815 1881-7823 Keyword(s) Neural network convolutional neural network recurrent neural network CT X-Ray MRI PET EHR Language eng DOI 10.5582/bst.2018.01264 Indigenous content off HERDC Research category C1.1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30134051 Document type: Journal Article Collections: Institute for Frontier Materials Open Access Collection GTP Research Related Links Link Description Link to full-text (open access)   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. 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 Thu, 30 Jan 2020, 13:12:15 EST Thu, 30 Jan 2020, 14:10:26 EST Thu, 15 Oct 2020, 11:10:57 EST Mon, 19 Oct 2020, 13:11:43 EST Mon, 19 Oct 2020, 13:12:53 EST Mon, 19 Oct 2020, 15:01:57 EST Fri, 23 Oct 2020, 18:35:17 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 33 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 30 Jan 2020, 13:12:15 EST

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