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A computer aided diagnosis method for SARS in its early stage based on chest image of digital radiograph

机译:基于数字射线图像胸部图像的SARS计算机辅助诊断方法

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The aim of this paper is to develop a computerized scheme in order to help clinicians to detect severe acute respiratory syndrome lesions in its early stage based on digital chest radiographs. After decomposition of the original chest radiographs with the theory of locally orderless images, the suspicious SARS lesions can be picked out. Together with some other images processing techniques to improve the accuracy, the sensitivity of this system achieved 77.8% at a coarse synthetical specificity of 22%.
机译:本文的目的是开发一种计算机化方案,以帮助临床医生在基于数字胸部射线照片的早期阶段检测严重的急性呼吸综合征病变。在用局部有秩序的图像理论的原始胸部射线照片分解后,可以挑出可疑的SARS病变。与其他一些其他图像处理技术一起提高了准确性,该系统的敏感性在粗综合特异性为22%的粗综合特异性达到77.8%。

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