DIAGNOSIS SUPPORT APPARATUS, DIAGNOSIS SUPPORT METHOD AND COMPUTER-READABLE NON-TRANSITORY STORAGE MEDIUM FOR STORING PROGRAM

    公开(公告)号:US20200146529A1

    公开(公告)日:2020-05-14

    申请号:US16745487

    申请日:2020-01-17

    Abstract: A diagnosis support apparatus performs identification for a plurality of support items, which are identification classifications about diagnosis support, and the diagnosis support apparatus is provided with a processor. The processor performs analysis processing for acquiring analysis results including an analysis result about an observation mode by analyzing at least one of an input signal specifying the observation mode and an observation image obtained by observing an inside of a subject with an endoscope; performs support item setting processing for setting a support item corresponding to the analysis results obtained by the analysis processing, among the plurality of support items, which are the identification classifications; and generates diagnosis support information, which is information used for diagnosis of a legion candidate area included in the observation image, based on an identification index corresponding to the set support item and the observation image.

    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING DEVICE
    23.
    发明申请
    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING DEVICE 有权
    图像处理装置,图像处理方法和计算机可读记录装置

    公开(公告)号:US20150092993A1

    公开(公告)日:2015-04-02

    申请号:US14564453

    申请日:2014-12-09

    Abstract: An image processing apparatus includes: an imaging distance estimating unit configured to estimate an imaging distance to a subject shown in an image; an examination region setting unit configured to set an examination region in the image such that an index indicating a spread of a distribution of imaging distances to the subject shown in the examination region is within a given range; and an abnormal structure identifying unit configured to identify whether or not a microstructure of the subject shown in the examination region is abnormal, by using texture feature data that enables identification of an abnormality in the microstructure of the subject shown in the examination region, the texture feature data being specified according the examination region.

    Abstract translation: 图像处理装置包括:成像距离估计单元,被配置为估计与图像中所示的被摄体成像距离; 检查区域设置单元,被配置为设置所述图像中的检查区域,使得指示所述检查区域中所示的被检体的成像距离的分布的扩展的指标在给定范围内; 以及异常结构识别单元,其通过使用能够识别检查区域所示的被检体的微观结构异常的纹理特征数据来识别检查区域中显示的被检体的微观结构是否异常, 特征数据根据检查区域指定。

    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING DEVICE
    24.
    发明申请
    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING DEVICE 有权
    图像处理装置,图像处理方法和计算机可读记录装置

    公开(公告)号:US20140270499A1

    公开(公告)日:2014-09-18

    申请号:US14288733

    申请日:2014-05-28

    Abstract: An image processing apparatus includes: a color feature data calculation unit configured to calculate color feature data of each pixel in an intraluminal image or color feature data of each small region obtained by dividing the intraluminal image into a plurality of small regions; a residue candidate distribution determination unit configured to determine, from among the color feature data, color feature data distributed on a side comparatively strong in redness to be a mucosa distribution and determine color feature data distributed on a side comparatively weak in redness to be a residue candidate distribution; and a residue distribution determination unit configured to determine, from among distributions of the color feature data determined to be the residue candidate distribution, a residue candidate distribution distributed on a side strong in yellowness with reference to the mucosa distribution to be a residue distribution.

    Abstract translation: 一种图像处理装置,包括:颜色特征数据计算单元,被配置为计算通过将管腔内图像分割为多个小区域而获得的每个小区域的管腔内图像中的每个像素的颜色特征数据或颜色特征数据; 残差候选分布确定单元,被配置为从色特征数据中确定分布在比较强的发红的一侧作为粘膜分布的颜色特征数据,并且确定分布在比较弱的发红的一侧的颜色特征数据为残基 候选人分配; 以及残差分布确定单元,被配置为从被确定为残留候选分布的颜色特征数据的分布中确定分布在黄色强度的侧面上的残差候选分布,参考粘膜分布作为残差分布。

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