Patents by Inventor Toshiaki HIRASAWA

Toshiaki HIRASAWA 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).

  • Image diagnosis assistance apparatus, data collection method, image diagnosis assistance method, and image diagnosis assistance program
    Patent number: 11633084
    Abstract: Provided are: an image diagnosis assistance apparatus capable of assisting diagnosis of an endoscopic image captured by an endoscopist; a data collection method; an image diagnosis assistance method; and an image diagnosis assistance program. The image diagnosis assistance apparatus is provided with: a lesion assessment unit that assesses, by a convolutional neural network, the denomination and the position of a lesion which is present in a digestive system endoscopic image of a patient captured by a digestive system endoscopic imaging device and information about accuracies thereof; and a display control unit that performs control for generating an analysis result image in which the denomination and the position of the lesion and the accuracies thereof are displayed and for displaying the image on the digestive system endoscopic image.
    Type: Grant
    Filed: October 30, 2018
    Date of Patent: April 25, 2023
    Assignees: JAPANESE FOUNDATION FOR CANCER RESEARCH, AI MEDICAL SERVICE INC.
    Inventors: Toshiaki Hirasawa, Tomohiro Tada, Kazuharu Aoyama, Tsuyoshi Ozawa, Toshiyuki Yoshio
  • IMAGE DIAGNOSIS ASSISTANCE APPARATUS, DATA COLLECTION METHOD, IMAGE DIAGNOSIS ASSISTANCE METHOD, AND IMAGE DIAGNOSIS ASSISTANCE PROGRAM
    Publication number: 20200337537
    Abstract: Provided are: an image diagnosis assistance apparatus capable of assisting diagnosis of an endoscopic image captured by an endoscopist; a data collection method; an image diagnosis assistance method; and an image diagnosis assistance program. The image diagnosis assistance apparatus is provided with: a lesion assessment unit that assesses, by a convolutional neural network, the denomination and the position of a lesion which is present in a digestive system endoscopic image of a patient captured by a digestive system endoscopic imaging device and information about accuracies thereof; and a display control unit that performs control for generating an analysis result image in which the denomination and the position of the lesion and the accuracies thereof are displayed and for displaying the image on the digestive system endoscopic image.
    Type: Application
    Filed: October 30, 2018
    Publication date: October 29, 2020
    Inventors: Toshiaki HIRASAWA, Tomohiro TADA, Kazuharu AOYAMA, Tsuyoshi OZAWA, Toshiyuki YOSHIO