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Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs

Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs
用于检测膝关节 X 线照片中骨关节炎的自动纹理选择和分类方法
批准号:
DP0560063
负责人:
A/Prof Pawel Podsiadlo
金额:
$14.22万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2005
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2005-07-31 至 2008-06-30

项目摘要

项目成果

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中文摘要
翻译
在澳大利亚,有1-2百万OA患者,每年花费约90亿美元。该项目将解决早期发现和监测OA的重要问题,这与国家研究重点2保持一致。该项目的潜在成果将导致更好地诊断和治疗OA,减少个人的不适,并节省国民经济。该项目将改善现有的活动和康复计划,如下肢锻炼,并将有助于为健康人和OA患者制定饮食。
英文摘要
In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving to the national economy. This project will improve existing activity and rehabilitation programs such as exercise of lower limbs and it will help in developing diets for healthy people and OA sufferers.
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New technology for designing advanced surface textures
  • 批准号:
    DP180100700
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $29.6万
  • 财政年份:
    2018
  • 负责人:
    A/Prof Pawel Podsiadlo
  • 依托单位:
国内基金
海外基金
表面纹理(texture)结构与界面摩擦的相关性及其优化研究
  • 批准号:
    50545035
  • 项目类别:
    专项基金项目
  • 资助金额:
    8.0万元
  • 批准年份:
    2005
  • 负责人:
    刘莹
  • 依托单位: