Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP180103232
Funding Status
Closed
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Funded Activity Summary
Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes. The project will validate the approach on a real-world case study data set concerning the prediction of five-year survival of chronic disease.Funded Activity Details
Start Date: 10-2018
End Date: 12-2022
Funding Scheme: Discovery Projects
Funding Amount: $387,884.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Biomedical Engineering not elsewhere classified | Pattern Recognition and Data Mining | Computer Vision | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Expanding Knowledge in the Information and Computing Sciences |
