Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140102794
Funding Status
Closed
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Funded Activity Summary
Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features to analyse in each modality and the hidden relationships between them. The use of deep belief networks has produced promising results in several fields, such as speech recognition, and so this project believes that our approach has the potential to improve both the sensitivity and specificity of breast cancer detection.Funded Activity Details
Start Date: 12-2014
End Date: 12-2018
Funding Scheme: Discovery Projects
Funding Amount: $295,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Pattern Recognition and Data Mining | Computer Vision | Image Processing | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Expanding Knowledge in the Information and Computing Sciences |
