Patents by Inventor Yoshimune SHIRATORI

Yoshimune SHIRATORI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Identifying device, learning device, method, and storage medium
    Patent number: 11361443
    Abstract: An aspect of the present invention allows for more accurately identifying a possible lesion in a human lung field. The aspect of the present invention includes an image obtaining section configured to obtain a chest cross-sectional image of a subject, a segmentation section configured to classify, into a plurality of segments, unit elements of the chest cross-sectional image, and an image dividing section configured to divide the chest cross-sectional image into a plurality of regions. A data deriving section is configured to derive data associated with the possible lesion, the data being derived on the basis of a segment of unit elements in the each region among the plurality of segments. An identifying section is configured to output an identification result, which is a result of identification of the possible lesion in the lung field of the subject.
    Type: Grant
    Filed: May 19, 2020
    Date of Patent: June 14, 2022
    Assignees: RIKEN, NATIONAL UNIVERSITY CORPORATION TOKAI NATIONAL HIGHER EDUCATION AND RESEARCH SYSTEM
    Inventors: Taiki Furukawa, Hideo Yokota, Shintaro Oyama, Yoshinori Hasegawa, Yoshimune Shiratori
  • IDENTIFYING DEVICE, LEARNING DEVICE, METHOD, AND STORAGE MEDIUM
    Publication number: 20200372650
    Abstract: An aspect of the present invention allows for more accurately identifying a possible lesion in a human lung field. The aspect of the present invention includes: an image obtaining section configured to obtain a chest cross-sectional image of a subject; a segmentation section configured to classify, into a plurality of segments, unit elements of the chest cross-sectional image; an image dividing section configured to divide the chest cross-sectional image into a plurality of regions; a data deriving section configured to derive data associated with the possible lesion, the data being derived on the basis of a segment of unit elements in the each region among the plurality of segments; and an identifying section configured to output an identification result, which is a result of identification of the possible lesion in the lung field of the subject.
    Type: Application
    Filed: May 19, 2020
    Publication date: November 26, 2020
    Inventors: Taiki FURUKAWA, Hideo YOKOTA, Shintaro OYAMA, Yoshinori HASEGAWA, Yoshimune SHIRATORI