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    • 3. 发明申请
    • METHOD FOR DISCRIMINATING BETWEEN MALIGNANT AND BENIGN TISSUE LESIONS
    • 鉴别恶性组织和组织组织淋巴结的方法
    • US20110046894A1
    • 2011-02-24
    • US12864388
    • 2009-01-26
    • Jakob StamnesKnut StamnesGennady RyzhikovMarina BiryulinaBoerge HamreEndre R. SommerstenLu Zhao
    • Jakob StamnesKnut StamnesGennady RyzhikovMarina BiryulinaBoerge HamreEndre R. SommerstenLu Zhao
    • G06F19/00G01N33/48
    • 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.
    • 本发明的一个实施例包括用于区分良性和恶性组织损伤的方法。 该方法包括使用由反射测量产生的生理学和形态参数的多个图以及由反射测量产生的纯形态参数的步骤。 该方法还包括计算多个地图的熵和交叉熵,以及计算多个纯形态参数。 此外,该方法包括将每个熵的权重和权重分配给每个熵的对数,每个交叉熵的权重和每个交叉熵的对数的权重,以及对每个纯形态参数的权重和权重 每个纯形态参数的对数。 该方法还包括计算诊断索引,定义成本函数,为诊断索引定义适当的阈值并解决优化问题,以从所分配的权重确定一组权重,以最大限度地提高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损伤是良性还是恶性。