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RESOLVING AND STEERING DECISION FOCI IN MACHINE LEARNING-BASED VASCULAR IMAGING
RESOLVING AND STEERING DECISION FOCI IN MACHINE LEARNING-BASED VASCULAR IMAGING
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机译:基于机器学习的血管成像中的转向决策转向
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摘要
A system (SY) for determining a relative importance of each of a plurality of image features (Fn) of a vascular medical image impacting an overall diagnostic metric computed for the image from an automatically-generated diagnostic rule. A medical image database (MIDB) includes a plurality of vascular medical images (M1..k). A rule generating unit (RGU) analyzes the plurality of vascular medical images and automatically generates at least one diagnostic rule corresponding to a common diagnosis of a subset of the plurality of vascular medical images based on a plurality of image features common to the subset of vascular medical images. An image providing unit (IPU) provides a current vascular medical image (CVMI) including the plurality of image features. A diagnostic metric computation unit (DMCU) computes an overall diagnostic metric for the current vascular medical image by applying the at least one automatically-generated diagnostic rule to the current vascular medical image. A decision propagation unit (DPU) identifies, in the current vascular medical image, the relative importance of each of the plurality of image features on the computed overall diagnostic metric.
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机译:一种用于确定血管医学图像的多个图像特征(F n Sub>)中每个图像特征的相对重要性的系统(SY),该系统影响从自动生成的诊断规则计算出的图像的总体诊断指标。医学图像数据库(MIDB)包含多个血管医学图像(M 1..k Sub>)。规则产生单元(RGU)分析多个血管医学图像,并基于与血管子图像共有的多个图像特征,自动生成与多个血管医学图像的子集的共同诊断相对应的至少一个诊断规则。医学图像。图像提供单元(IPU)提供包括多个图像特征的当前血管医学图像(CVMI)。诊断度量计算单元(DMCU)通过将至少一个自动生成的诊断规则应用于当前血管医学图像来计算当前血管医学图像的整体诊断度量。决策传播单元(DPU)在当前的血管医学图像中识别多个图像特征中的每个图像特征在计算的总体诊断指标上的相对重要性。
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