Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/22251| Title: | Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. |
| Authors: | Mecheter, I Amira, A Abbod, M Zaidi, H |
| Keywords: | magnetic resonance imaging;segmentation;PET attenuation correction;deep learning;transfer learning |
| Issue Date: | 5-Jan-2021 |
| Publisher: | IEEE |
| 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. |
| URI: | http://bura.brunel.ac.uk/handle/2438/22251 |
| ISBN: | 978-1-7281-2547-3 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 1.16 MB | Adobe PDF | View/Open |
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