Application of neural networks as an aid in medical diagnosis and
general anomaly detection
    6.
    发明授权
    Application of neural networks as an aid in medical diagnosis and general anomaly detection 失效
    神经网络在医学诊断和一般异常检测中的应用

    公开(公告)号:US5331550A

    公开(公告)日:1994-07-19

    申请号:US16343

    申请日:1993-02-11

    摘要: A method for computer-aided detection of anomalies in an image comprise the steps of: (1) dividing the image into a plurality of m.times.n regions; (2) subtracting the background from each of the regions; (3) for each of the regions, selecting a smaller p.times.q subregion; (4) normalizing the p.times.q subregion; (5) feeding the p.times.q subregions into a neural network system, the neural network system having plural member neural networks, each trained to recognize a particular preselected anomaly type; (6) comparing each output value of the plurality of member neural networks to a first threshold; (7) selecting a maximum value from the output values which are greater than the first threshold; (8) comparing the maximum value to a second threshold above which the presence of an anomaly is indicated, and storing the result; (9) clustering a plurality of the stored results to form clusters; and (10) marking the location of the clusters.

    摘要翻译: 一种用于计算机辅助检测图像中的异常的方法包括以下步骤:(1)将图像划分成多个m×n区域; (2)从每个区域减去背景; (3),选择较小的pxq子区域; (4)规范化pxq子区域; (5)将pxq子区域馈送到神经网络系统中,所述神经网络系统具有多个成员神经网络,每个被训练以识别特定的预选异常类型; (6)将所述多个成员神经网络的每个输出值与第一阈值进行比较; (7)从大于第一阈值的输出值中选择最大值; (8)将所述最大值与第二阈值进行比较,在所述第二阈值以上,指示出异常的存在,并存储所述结果; (9)对存储的多个结果进行聚类以形成簇; 和(10)标记集群的位置。