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Australian State/Territory : QLD
Field of Research : Image Processing
Australian State/Territory : NSW
Research Topic : cancer therapy
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  • Funded Activity

    Linkage Projects - Grant ID: LP0774994

    Funder
    Australian Research Council
    Funding Amount
    $501,000.00
    Summary
    Multi-modal, Multi-dimensional Virtual Microscopy for Diagnostic Quantitative Pathology. This project will contribute to the development of a new generation of virtual microscopy (VM) systems that provide new and innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of pathology. These systems have the potential to significantly enhance the efficiency and efficacy of not only primary diagnostic workflows, but also aspects of profi .... Multi-modal, Multi-dimensional Virtual Microscopy for Diagnostic Quantitative Pathology. This project will contribute to the development of a new generation of virtual microscopy (VM) systems that provide new and innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of pathology. These systems have the potential to significantly enhance the efficiency and efficacy of not only primary diagnostic workflows, but also aspects of proficiency testing and continuing education vital for a vibrant, well regulated discipline. In addition, the project will contribute to our knowledge of the pathology assessed in the screening and diagnosis of cancers such as cervical, lung and bladder cancers.
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    Funded Activity

    Discovery Projects - Grant ID: DP0879250

    Funder
    Australian Research Council
    Funding Amount
    $275,000.00
    Summary
    Improved detection and characterisation of breast cancer using magnetic resonance imaging, and novel image analysis and pattern recognition techniques. Breast cancer is a leading cause of death in Australian women. With no clear cause, one mainstay of management has been early detection. Newer medical imaging technologies such as magnetic resonance imaging require complex analysis to achieve their full benefit. Should the computationally demanding analyses of these images provide more sensitive .... Improved detection and characterisation of breast cancer using magnetic resonance imaging, and novel image analysis and pattern recognition techniques. Breast cancer is a leading cause of death in Australian women. With no clear cause, one mainstay of management has been early detection. Newer medical imaging technologies such as magnetic resonance imaging require complex analysis to achieve their full benefit. Should the computationally demanding analyses of these images provide more sensitive and specific detection of early cancers, the potential reductions in morbidity and mortality from breast cancer will be of immense value. Successful implementation of the proposed project will further enhance Australia's position as a world leader in biomedical research and application of computational technologies to health problems.
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    Funded Activity

    Special Research Initiatives - Grant ID: SR0567196

    Funder
    Australian Research Council
    Funding Amount
    $55,000.00
    Summary
    Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images. This project will investigate the utility of grid computing in the detection of breast cancer from magnetic resonance (MR) images. The large quantity of data acquired using MR imaging is difficult for clinicians to review and the cost of missed or incorrect detection is high. To provide rapid visualisation and assessment of the acquired data, grid computing will be used in c .... Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images. This project will investigate the utility of grid computing in the detection of breast cancer from magnetic resonance (MR) images. The large quantity of data acquired using MR imaging is difficult for clinicians to review and the cost of missed or incorrect detection is high. To provide rapid visualisation and assessment of the acquired data, grid computing will be used in conjunction with interactive visualisation with haptic feedback. Grid computing experience and haptic device expertise will be achieved via Swedish collaborators. The successful outcome of this project will be software for the production of 3D colour-coded breast images in which suspicious regions are highlighted and can be physically interrogated using the haptic device.
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    Funded Activity

    Discovery Projects - Grant ID: DP0877414

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Intelligent Image Processing Techniques for Novel Biomarker Discovery. This project will make an impact on Australia's international research profile by seeking a solution to a worldwide challenging problem in biomarker discovery for the detection of diseases at an early stage which requires the incorporation of the skills and knowledge from biology, medicine, engineering, computer science, and information technology. The successful outcomes of this research will make an impact on Australia's e .... Intelligent Image Processing Techniques for Novel Biomarker Discovery. This project will make an impact on Australia's international research profile by seeking a solution to a worldwide challenging problem in biomarker discovery for the detection of diseases at an early stage which requires the incorporation of the skills and knowledge from biology, medicine, engineering, computer science, and information technology. The successful outcomes of this research will make an impact on Australia's engagement in using advanced image analysis and intelligent methods for the emerging research and development of targeted drug discovery.
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    Funded Activity

    Discovery Projects - Grant ID: DP0665598

    Funder
    Australian Research Council
    Funding Amount
    $175,000.00
    Summary
    An Automated Bioimaging System for High-Content Cell-Cycle Screening. 1) Providing a better understanding of the biological complexities that will advance knowledge in life science research and facilitate the development of new anti-cancer drugs. 2) Supporting Australian academic institutions in a challenging field of innovative research through international, interdisciplinary collaborations, and publications in journals of high quality scientific research. 3) Providing research training .... An Automated Bioimaging System for High-Content Cell-Cycle Screening. 1) Providing a better understanding of the biological complexities that will advance knowledge in life science research and facilitate the development of new anti-cancer drugs. 2) Supporting Australian academic institutions in a challenging field of innovative research through international, interdisciplinary collaborations, and publications in journals of high quality scientific research. 3) Providing research training in a research venture that requires expertise and collaboration in the disciplines of biology, engineering, computer science, and mathematics. 4) Bringing economic and social benefits for Australia by enhancing important industries and existing technologies in medicine, and biotechnology.
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