Patents by Inventor Ryu ISHIHARA

Ryu ISHIHARA 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).

  • DIAGNOSTIC ASSISTANCE METHOD, DIAGNOSTIC ASSISTANCE SYSTEM, DIAGNOSTIC ASSISTANCE PROGRAM, AND COMPUTER-READABLE RECORDING MEDIUM STORING THEREIN DIAGNOSTIC ASSISTANCE PROGRAM FOR DISEASE BASED ON ENDOSCOPIC IMAGE OF DIGESTIVE ORGAN
    Publication number: 20220020496
    Abstract: A diagnostic assistance method for a disease based on an endoscopic image of a digestive organ with use of a convolutional neural network (CNN) trains the CNN using a first endoscopic image of the digestive organ and at least one final diagnosis result of the positivity or the negativity for the disease in the digestive organ, or information corresponding to a severity level, the final diagnosis result being corresponding to the first endoscopic image, and the trained CNN outputs at least one of a probability of the positivity and/or the negativity for the disease in the digestive organ, a severity level of the disease, or a probability corresponding to the invasion depth (infiltration depth) of the disease, based on a second endoscopic image of the digestive organ.
    Type: Application
    Filed: November 21, 2019
    Publication date: January 20, 2022
    Applicant: AI MEDICAL SERVICE INC.
    Inventors: Hiroaki SAITO, Satoki SHICHIJO, Yuma ENDO, Kazuharu AOYAMA, Tomohiro TADA, Atsuo YAMADA, Kentaro NAKAGAWA, Ryu ISHIHARA, Tomonori AOKI, Atsuko TAMASHIRO
  • DIAGNOSTIC ASSISTANCE METHOD, DIAGNOSTIC ASSISTANCE SYSTEM, DIAGNOSTIC ASSISTANCE PROGRAM, AND COMPUTER-READABLE RECORDING MEDIUM STORING THEREIN DIAGNOSTIC ASSISTANCE PROGRAM FOR DISEASE BASED ON ENDOSCOPIC IMAGE OF DIGESTIVE ORGAN
    Publication number: 20210153808
    Abstract: A diagnostic assistance method for a disease based on an endoscopic image of a digestive organ with use of a convolutional neural network (CNN). A diagnostic assistance method for a disease based on an endoscopic image of a digestive organ with a CNN trains the CNN using a first endoscopic image of the digestive organ and at least one final diagnosis result on positivity or negativity to the disease in the digestive organ, a past disease, a severity level, and information corresponding to a site where an image is captured, the final diagnosis result corresponding to the first endoscopic image, and the trained CNN outputs at least one of a probability of the positivity and/or the negativity to the disease, a probability of the past disease, a severity level of the disease, an invasion depth of the disease, and a probability corresponding to the site where the image is captured.
    Type: Application
    Filed: June 20, 2019
    Publication date: May 27, 2021
    Applicant: AI MEDICAL SERVICE INC.
    Inventors: Tomohiro TADA, Hiroaki SAITO, Satoki SHICHIJYO, Yuma ENDO, Kazuharu AOYAMA, Atsuo YAMADA, Kentaro NAKAGAWA, Ryu ISHIHARA, Syuntaro INOUE