Exploring the complementarity of THz pulse imaging and DCE-MRIs: Toward a unified multi-channel classification and a deep learning framework
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Yin, Xiaoxia, Zhang, Yanchun 
ORCID: 0000-0002-5094-5980, Cao, Jie, Wu, Jian Lin and Hadjiloucas, S
(2016)
Exploring the complementarity of THz pulse imaging and DCE-MRIs: Toward a unified multi-channel classification and a deep learning framework.
Computer Methods and Programs in Biomedicine, 137.
87 - 114.
ISSN 0169-2607
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/34009 |
| DOI | 10.1016/j.cmpb.2016.08.026 |
| Official URL | http://www.sciencedirect.com/science/article/pii/S... |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics Current > Division/Research > College of Science and Engineering |
| Keywords | terahertz; magnetic resonance imaging; signal processing; biomedical image analysis; multiclass classification; extreme learning machine |
| Citations in Scopus | 13 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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