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http://bura.brunel.ac.uk/handle/2438/22251
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mecheter, I | - |
dc.contributor.author | Amira, A | - |
dc.contributor.author | Abbod, M | - |
dc.contributor.author | Zaidi, H | - |
dc.date.accessioned | 2021-02-10T18:32:27Z | - |
dc.date.available | 2020 | - |
dc.date.available | 2021-02-10T18:32:27Z | - |
dc.date.issued | 2021-01-05 | - |
dc.identifier.citation | Mecheter, I., Amira, A., Abbod, M. and Zaidi, H. (2021) 'Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction.', Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 1-4 Dec. 2020, pp. 2516 - 2520. doi: 10.1109/SSCI47803.2020.9308177. | en_US |
dc.identifier.isbn | 978-1-7281-2547-3 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/22251 | - |
dc.format.extent | 2516 - 2520 | - |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE | en_US |
dc.subject | magnetic resonance imaging | en_US |
dc.subject | segmentation | en_US |
dc.subject | PET attenuation correction | en_US |
dc.subject | deep learning | en_US |
dc.subject | transfer learning | en_US |
dc.title | Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. | en_US |
dc.type | Conference Paper | en_US |
dc.relation.isPartOf | SSCI | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
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FullText.pdf | 1.16 MB | Adobe PDF | View/Open |
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