Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP180103232]Researchers: Gustavo Carneiro (Chief Investigator) , Honorary Professor Andrew Bradley (Chief Investigator) , Lyle John Palmer (Chief Investigator) , Jacinto Nascimento (Partner Investigator)
Brief description 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.
Funding Amount $387,884
Funding Scheme Discovery Projects
- ARC : DP180103232
- PURL : https://purl.org/au-research/grants/arc/DP180103232