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METHOD FOR DISCRIMINATING BETWEEN MALIGNANT AND BENIGN TISSUE LESIONS

机译:鉴别恶性组织和良性组织病变的方法

摘要

An embodiment of the present invention includes a method for discriminating between benign and malignant tissue lesions. The method includes the steps of using a plurality of maps of physiology and morphology parameters generated from reflectance measurements and pure morphology parameters generated from reflectance measurements. The method also includes calculating entropies and cross entropies of the plurality of maps, and calculating a plurality of pure morphology parameters. Further, the method includes assigning a weight to each entropy and a weight to a logarithm of each entropy, a weight to each cross entropy and a weight to a logarithm of each cross entropy, and a weight to each pure morphology parameter and a weight to a logarithm of each pure morphoiogy parameter. The method further includes computing a diagnostic index, defining a cost function, defining a proper threshold value for a diagnostic index and solving an optimization problem to determine a set of weights from the assigned weights to maximize specificity for 100% sensitivity. Further, the method uses calculations, the cost function and the diagnostic index to determine whether the tissue lesion is benign or malignant.
机译:本发明的一个实施方案包括一种用于区分良性和恶性组织病变的方法。该方法包括以下步骤:使用从反射率测量值生成的多个生理学和形态学参数图以及从反射率测量值生成的纯形态学参数图。该方法还包括计算多个图的熵和交叉熵,以及计算多个纯形态学参数。此外,该方法包括:将权重分配给每个熵,将权重分配给每个熵的对数,将权重分配给每个交叉熵,将权重分配给每个交叉熵的对数,将权重分配给每个纯形态参数,并将权重分配给每个纯形态参数的对数。该方法还包括计算诊断指标,定义成本函数,为诊断指标定义合适的阈值以及解决优化问题,以从分配的权重中确定一组权重,以最大程度地提高100%灵敏度的特异性。此外,该方法使用计算,成本函数和诊断指标来确定组织病变是良性还是恶性的。

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