This Research Technology Services (ResTech) Seminar (and Q&A), presented by UNSW the Biomedical Image Computing Group (Faculty of Engineering) will showcase examples of medical, pathological and biological imaging and explore how High Performance Computing (HPC) can be used to train computers to interpret this data.
Clinical diagnostics and biomedical research nowadays rely heavily on advanced imaging technologies to visualise structural and functional properties of organs, tissues, and even cells. Modern biomedical imaging systems generate data of ever-increasing quantity and complexity. Automated processing and analysis of this data using computational methods has become indispensable in extracting relevant information and helping physicians and researchers to detect and measure patterns which would require a lot of effort to do manually.
The Biomedical Image Computing Group at the UNSW School of Computer Science and Engineering is developing new computer vision and artificial intelligence methods to perform these tasks. This ResTech Seminar will showcase several examples from medical imaging, pathological imaging, and biological imaging and discuss how high-performance computing is used in their work to train computers how to interpret such data and will be followed by a Q&A.
