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T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation

Khan, Tariq, Robles-Kelly, Antonio and Naqvi, SS 2022, T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation, in IEEE/CVF 2022: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, IEEE, Piscataway, N.J., pp. 1799-1808, doi: 10.1109/WACV51458.2022.00186.

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Title T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation
Author(s) Khan, TariqORCID iD for Khan, Tariq orcid.org/0000-0002-7477-1591
Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Naqvi, SS
Conference name IEEE/CVF Applications of Computer Vision. Winter Conference (WACV) (2022: Waikoloa, HI.)
Conference location Waikoloa, HI.
Conference dates 2022/01/04 - 2022/01/08
Title of proceedings IEEE/CVF 2022: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
Publication date 2022-02-15
Start page 1799
End page 1808
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
ISBN 9781665409155
Language eng
DOI 10.1109/WACV51458.2022.00186
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30165246

Document type: Conference Paper
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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Created: Thu, 24 Mar 2022, 07:19:47 EST

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