Research Repository

Exploring the complementarity of THz pulse imaging and DCE-MRIs: Toward a unified multi-channel classification and a deep learning framework

Yin, Xiaoxia, Zhang, Yanchun ORCID: 0000-0002-5094-5980, Cao, J, Wu, JL 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

Full text for this resource is not available from the Research Repository.
Item Type: Article
Uncontrolled Keywords: terahertz; magnetic resonance imaging; signal processing; biomedical image analysis; multiclass classification; extreme learning machine
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > Centre for Applied Informatics
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 16 Jun 2017 06:56
Last Modified: 21 Jun 2017 00:19
URI: http://vuir.vu.edu.au/id/eprint/34009
DOI: https://doi.org/10.1016/j.cmpb.2016.08.026
ePrint Statistics: View download statistics for this item
Citations in Scopus: 1 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar