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.

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Title Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning
Author(s) Razzak, Muhammad ImranORCID iD for 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

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