Computer Science student Leon Chea won an iAward 2016 for the best student project (under the category of Undergraduate Tertiary Students) in South Australia with the project “A Deep Learning Search Engine for Radiology Cases”. Leon developed this work for his Advanced Topics in Computer Science project under the supervision of A/Prof Gustavo Carneiro and Dr Luke Oakden-Rayner. The goal of the project was the development of a state-of-the-art search engine, targeted for accessing radiology cases for the Royal Adelaide Hospital (RAH). This is part of a larger project involving the eventual deployment of an efficient search engine, with the overall goal of increasing the general productivity of the hospital. More specifically, this search engine will facilitate the task of finding similar radiology cases both for research and teaching. The methodology is based on the use and development of new deep learning techniques for the representation and ranking of the reports.
Leon is now competing for the national iAwards that will happen in Melbourne on 1 September 2016. The iAwards is the premier digital awards program offered by the Australian Information Industry Association.