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Open Access research that responds to the COVID-19 pandemic...

Strathprints makes available scholarly Open Access content seeking to respond to the medical, scientific, economic and social emergencies arising from the COVID-19 pandemic. Researchers from across the Faculties of Science, Engineering, Business and the Humanities, Arts & Social Sciences (HaSS) are all contributing to improved human understanding of -- or solutions to -- the issues surrounding management of the pandemic and the post-pandemic recovery.

Explore COVID-19 related Open Access research. Or explore all of Strathclyde's Open Access research...

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Jump to: 2019 | 2018
Number of items: 3.

2019

Zhao, Baixiang and Soraghan, John and Di Caterina, Gaetano and Grose, Derek (2019) Segmentation of head and neck tumours using modified U-net. In: 27th European Signal Processing Conference, 2019-09-02 - 2019-09-06.

Zhao, Baixiang and Soraghan, John and Grose, Derek and Doshi, Trushali and Di-Caterina, Gaetano; Tabus, I. and Larabi, C. and Battisti, F. and Egiazarian, K. and Oudre, L. and Beghdadi, A., eds. (2019) Automatic 3D detection and segmentation of head and neck cancer from MRI data. In: Proceedings of the 2018 7th European Workshop on Visual Information Processing, EUVIP 2018. IEEE, FIN. ISBN 9781538668979

2018

Zhao, Baixiang and Soraghan, John and Di Caterina, Gaetano and Petropoulakis, Lykourgos and Grose, Derek and Doshi, Trushali; (2018) Automatic 3D segmentation of MRI data for detection of head and neck cancerous lymph nodes. In: 2018 Signal Processing. IEEE, POL, pp. 298-303. ISBN 9788362065332

This list was generated on Thu May 6 21:04:05 2021 BST.