中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

11 records (took 0.012 seconds)

    Radiation image acquiring device
    2.
    发明授权
    Radiation image acquiring device 有权
    辐射图像获取装置

    公开(公告)号：US09390823B2

    公开(公告)日：2016-07-12

    申请号：US14433387

    申请日：2013-10-03

    Applicant: HITACHI, LTD.

    Inventor： Atsuro Suzuki ,  Takafumi Ishitsu ,  Isao Takahashi ,  Wataru Takeuchi ,  Keiji Kobashi

    IPC: G01N23/04 ,  G21K1/02 ,  G01T1/164 ,  G21K1/04

    CPC classification number: G21K1/02 ,  G01N23/046 ,  G01T1/1648 ,  G21K1/025 ,  G21K1/04

    Abstract: There is provided is a radiation image acquiring device which corrects a positional displacement between a collimator and a detector and obtains an image without artifacts. The device includes a detector (21) to measure a radiation; a collimator (26) including a through-hole (27) having one or more detectors (21) disposed therein and configured to limit an incident direction of the radiation; a positional displacement measuring unit configured to measure a positional displacement between the detector (21) and the collimator (26) by use of a profile of a radiation source measured by the detector (21) based on the radiation source disposed corresponding to a predetermined detector (21).

    Abstract translation: 提供了一种放射图像获取装置，其校正准直器和检测器之间的位置偏移，并且获得没有伪影的图像。 该装置包括用于测量辐射的检测器（21） 准直器（26），其包括具有设置在其中的一个或多个检测器（21）的通孔（27）并且被配置为限制所述辐射的入射方向; 位置位移测量单元，被配置为通过使用由检测器（21）测量的辐射源的轮廓基于对应于预定检测器设置的辐射源来测量检测器（21）和准直器（26）之间的位置位移 （21）。

    Treatment selection support system and method
    3.
    发明授权
    Treatment selection support system and method 有权

    公开(公告)号：US11164675B2

    公开(公告)日：2021-11-02

    申请号：US16185501

    申请日：2018-11-09

    Applicant: Hitachi, Ltd.

    Inventor： Shinji Tarumi ,  Wataru Takeuchi

    IPC: G16H50/20 ,  G16H50/50 ,  A61B5/00 ,  A61B5/145

    Abstract: It is provided a treatment selection support system comprising: a target achievement determination module configured to create target achievement determination information; a blood sugar controllability estimation module configured to create blood sugar controllability information; an achievement level prediction model creation module configured to create an achievement level prediction model; an appropriateness level calculation model creation module configured to create an appropriateness level calculation model for calculating an appropriateness level of a blood sugar control means based on formatted information, the target achievement determination information, and the blood sugar controllability information; an achievement level prediction module configured to use the achievement level prediction model; an appropriateness level calculation module configured to use the appropriateness level calculation model; and a blood sugar control means suggestion module configured to provide information on the blood sugar control means appropriate for the patient based on the predicted achievement level and the calculated appropriateness level.

    Analysis apparatus and analysis method
    4.
    发明授权
    Analysis apparatus and analysis method 有权

    公开(公告)号：US11527325B2

    公开(公告)日：2022-12-13

    申请号：US16245096

    申请日：2019-01-10

    Applicant: Hitachi, Ltd.

    Inventor： Wataru Takeuchi ,  Takuma Shibahara ,  Ken Naono ,  Shinji Tarumi ,  Shuntaro Yui

    IPC: G16H50/20 ,  G06N3/02 ,  G16H50/50 ,  G16H50/70

    Abstract: An analysis apparatus comprises: a generation module configured to generate a second piece of input data having a weight for a first feature item of a patient based on: a first piece of input data relating to the first feature item; a second feature item relating to a transition to a prediction target in a clinical pathway relating to a process for diagnosis or treatment; and a clinical terminology indicating relevance between medical terms; a neural network configured to output, when being supplied with the first piece of input data and the second piece of input data generated, a prediction result for the prediction target in the clinical pathway and importance of the first feature item; an edit module configured to edit the clinical pathway based on the prediction result and the importance output from the neural network; and an output module configured to output an edit result.

    COMPUTER SYSTEM AND PRESENTATION METHOD OF INFORMATION
    7.
    发明申请
    COMPUTER SYSTEM AND PRESENTATION METHOD OF INFORMATION 审中-公开

    公开(公告)号：US20200250579A1

    公开(公告)日：2020-08-06

    申请号：US16708473

    申请日：2019-12-10

    Applicant: Hitachi, Ltd.

    Inventor： Wataru Takeuchi

    IPC: G06N20/00 ,  G06F16/22 ,  G06N5/04

    Abstract: A computer system is accessible to a database storing learning data to generate a prediction model, the learning data includes input data and teacher data, the computer system: performs first learning to set an extraction criterion for extracting the learning data including the input data similar to prediction target data in a case of being input the prediction target data; extract the learning data from the first database based on the extraction criterion and generate a dataset; perform second learning to generate a prediction model using the dataset; generate a decision logic showing a prediction logic of the prediction model; and output information to present the decision logic.

    Computer system and presentation method of information
    9.
    发明授权
    Computer system and presentation method of information 有权

    公开(公告)号：US11443238B2

    公开(公告)日：2022-09-13

    申请号：US16708473

    申请日：2019-12-10

    Applicant: Hitachi, Ltd.

    Inventor： Wataru Takeuchi

    IPC: G06N20/00 ,  G06F16/22 ,  G06N5/04

    Abstract: A computer system is accessible to a database storing learning data to generate a prediction model, the learning data includes input data and teacher data, the computer system: performs first learning to set an extraction criterion for extracting the learning data including the input data similar to prediction target data in a case of being input the prediction target data; extract the learning data from the first database based on the extraction criterion and generate a dataset; perform second learning to generate a prediction model using the dataset; generate a decision logic showing a prediction logic of the prediction model; and output information to present the decision logic.

Patent Agency Ranking