会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 8. 发明申请
    • BRAIN-IMAGE DIAGNOSIS SUPPORTING METHOD, PROGRAM, AND RECORDING MEDIUM
    • 脑图像诊断支持方法,程序和记录介质
    • US20100183202A1
    • 2010-07-22
    • US12513842
    • 2007-11-05
    • Yoshitake TakahashiTatsuya TakagiKousuke OkamotoMasafumi Harada
    • Yoshitake TakahashiTatsuya TakagiKousuke OkamotoMasafumi Harada
    • G06K9/00
    • G06K9/6251A61B5/024A61B5/055A61B5/14542A61B5/4082A61B5/4088A61B5/7267A61B6/037A61B6/501A61B6/507G06K9/6234G06K9/6269G06T7/0012G06T2207/10104G06T2207/10108G06T2207/30016
    • To provide a brain-image diagnosis supporting method or the like. The method is a statistical evaluation method excluding the subjective judgment of an examiner, and enables image diagnosis. The method can present stable judgment criteria with respect to data on brain images imaged by a predetermined method in order to discriminate difficult diseases to diagnose. The method is also effective with respect to relationships which can not be always explained with a simple linear relationship, for example, the relationship between data on brain images imaged by a predetermined method and a disease which is a variable. By applying a predetermined nonlinear multivariate analysis method to data on brain images of a plurality of examinees imaged by a predetermined method and by classifying the data, image diagnosis support using a computer performed with respect to the data on brain images is performed. For example, SOM method is applied as a predetermined nonlinear multivariate analysis method. Data on brain images of a plurality of examinees imaged by SPECT or the like are handled as input data vectors x, which are presented to neurons on a two-dimensional lattice array in the SOM method so as to perform image diagnosis support based on the two-dimensional SOM after a predetermined training length.
    • 提供脑图像诊断支援方法等。 该方法是不包括审查员主观判断的统计评估方法,能够进行图像诊断。 该方法可以针对通过预定方法成像的脑图像的数据提供稳定的判断标准,以便将困难的疾病区分为诊断。 该方法对于不能总是以简单的线性关系解释的关系也是有效的,例如通过预定方法成像的脑图像上的数据与作为变量的疾病之间的关系。 通过将预定的非线性多元分析方法应用于通过预定方法成像的多个受检者的脑图像数据,并且通过对数据进行分类,执行使用关于脑图像数据执行的计算机的图像诊断支持。 例如,SOM方法被用作预定的非线性多变量分析方法。 将通过SPECT等成像的多个受检者的脑图像的数据作为输入数据向量x处理,其以SOM方式呈现给二维网格阵列上的神经元,以便基于两者进行图像诊断支持 预定训练长度后的三维SOM。