Discovery Projects - Grant ID: DP160103675

Funded Activity Summary

Biomedical Visual Image Analytics for Multi-disciplinary Retrieval. The project aims to develop a framework to provide users with the interactive access to information that is necessary for the best collaborative decision-making. Visual analytics theory is becoming increasing valuable for managing ‘big data’ because it can provide interactive and intuitive understanding of the rich information embedded within complex data and decision support systems. There are, however, fundamental challenges that currently prevent visual analytics from being routinely applied to multi-disciplinary collaboration, which is now ‘the norm’ to solve large complicated problems where there is significant social impact. This project aims to address these challenges and improve visual analytics theory by developing a biomedical visual image analytics framework that enables interactive information retrieval of multidisciplinary databases.

Funded Activity Details

Start Date: 01-01-2016

End Date: 31-12-2019

Funding Scheme: Discovery Projects

Funding Amount: $390,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Image Processing | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Diagnostic Methods | Clinical Health (Organs, Diseases and Abnormal Conditions) not elsewhere classified |

Other Keywords

Artificial Intelligence and Image Processing | Clinical Health (Organs, Diseases and Abnormal Conditions) not elsewhere classified | Diagnostic Methods | Image Processing | Pattern Recognition and Data Mining

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