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
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