Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning Razzak, Muhammad Imran and Naz, Saeeda 2017, Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning, in CVPRW 2017 : IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, Piscataway, N.J., pp. 801-807, doi: 10.1109/CVPRW.2017.111. Attached Files Name Description MIMEType Size Downloads Title Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning Author(s) Razzak, Muhammad Imran orcid.org/0000-0002-3930-6600 Naz, Saeeda Conference name Computer Vision and Pattern Recognition. Conference Workshops (2017 : Honolulu, Hawaii) Conference location Honolulu, Hawaii Conference dates 2017/07/21 - 2017/07/26 Title of proceedings CVPRW 2017 : IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Publication date 2017 Start page 801 End page 807 Total pages 7 Publisher IEEE Place of publication Piscataway, N.J. ISBN 9781538607336 ISSN 2160-7508 2160-7516 Language eng DOI 10.1109/CVPRW.2017.111 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30132530 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology 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 Tue, 26 Nov 2019, 08:09:15 EST Wed, 27 Nov 2019, 04:00:26 EST Wed, 27 Nov 2019, 05:03:34 EST Thu, 05 Dec 2019, 13:46:15 EST Thu, 05 Dec 2019, 13:48:41 EST Sat, 09 Jan 2021, 01:37:19 EST Filtered Full Citation counts:   Cited 19 times in TR Web of Science Cited 27 times in Scopus Search Google Scholar Access Statistics: 129 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 26 Nov 2019, 08:09:15 EST

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