Learning Medical Image Knowledge. We aim to develop Machine Learning and Knowledge Acquisition techniques for automated recognition of features in medical images, and to provide decision support for diagnosis from medical images. The project is innovative in its use of layered learning, where the computer first learns to recognise low-level image features that are then used to learn more complex features. The project is also innovative in combining a variety of automatic learning methods, includ ....Learning Medical Image Knowledge. We aim to develop Machine Learning and Knowledge Acquisition techniques for automated recognition of features in medical images, and to provide decision support for diagnosis from medical images. The project is innovative in its use of layered learning, where the computer first learns to recognise low-level image features that are then used to learn more complex features. The project is also innovative in combining a variety of automatic learning methods, including relational learning, with human-assisted knowledge acquisition methods. The expected outcomes will be new techniques for image understanding, particularly for our test domain, namely, High Resolution Computed Tomography scans of the lung.Read moreRead less
Molecular Ecology of Cryptosporidium in Rural and Urban NSW. Cryptosporidiosis is of particular concern in rural NSW. Significant increases in the incidence of cryptosporidiosis coupled with repeated outbreaks in regional areas demonstrate a need for improved management strategies. This project will identify transmission patterns of this disease relevant to the Australian environment, which is essential for future control. The reduction of economic costs for medical treatment of cryptosporidiosi ....Molecular Ecology of Cryptosporidium in Rural and Urban NSW. Cryptosporidiosis is of particular concern in rural NSW. Significant increases in the incidence of cryptosporidiosis coupled with repeated outbreaks in regional areas demonstrate a need for improved management strategies. This project will identify transmission patterns of this disease relevant to the Australian environment, which is essential for future control. The reduction of economic costs for medical treatment of cryptosporidiosis and improved on-farm management through control of Cryptosporidium transmission from farm animals are significant to public health and of national and community benefit. The primary national benefit will be improved rural community health through prevention of cryptosporidiosis outbreaks.Read moreRead less