Patents by Inventor Yoko TABE

Yoko TABE 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 ANALYSIS METHOD, APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND DEEP LEARNING ALGORITHM GENERATION METHOD
    Publication number: 20240062377
    Abstract: Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.
    Type: Application
    Filed: October 18, 2023
    Publication date: February 22, 2024
    Inventors: Akimichi OHSAKA, Yoko TABE, Konobu KIMURA
  • Image analysis method, apparatus, non-transitory computer readable medium, and deep learning algorithm generation method
    Patent number: 11830188
    Abstract: Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.
    Type: Grant
    Filed: August 10, 2021
    Date of Patent: November 28, 2023
    Assignees: Sysmex Corporation, Juntendo Educational Foundation
    Inventors: Akimichi Ohsaka, Yoko Tabe, Konobu Kimura
  • DISEASE DIFFERENTIATION SUPPORT METHOD, DISEASE DIFFERENTIATION SUPPORT APPARATUS, AND DISEASE DIFFERENTIATION SUPPORT COMPUTER PROGRAM
    Publication number: 20230028011
    Abstract: Disclosed is a disease differentiation support method for supporting disease differentiation, the disease differentiation support method including: obtaining a first parameter obtained by analyzing an image including a cell contained in a sample collected from a subject; obtaining a second parameter regarding a number of cells contained in the sample; and generating, by using a computer algorithm, differentiation support information for supporting disease differentiation, on the basis of the first parameter and the second parameter.
    Type: Application
    Filed: September 28, 2022
    Publication date: January 26, 2023
    Applicants: JUNTENDO EDUCATIONAL FOUNDATION, SYSMEX CORPORATION
    Inventors: Akimichi OHSAKA, Yoko TABE, Konobu KIMURA
  • IMAGE ANALYSIS METHOD, APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND DEEP LEARNING ALGORITHM GENERATION METHOD
    Publication number: 20210365668
    Abstract: Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.
    Type: Application
    Filed: August 10, 2021
    Publication date: November 25, 2021
    Inventors: Akimichi OHSAKA, Yoko TABE, Konobu KIMURA
  • Image analysis method, apparatus, non-transitory computer readable medium, and deep learning algorithm generation method
    Patent number: 11093729
    Abstract: Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.
    Type: Grant
    Filed: May 8, 2019
    Date of Patent: August 17, 2021
    Assignees: JUNTENDO EDUCATIONAL FOUNDATION, SYSMEX CORPORATION
    Inventors: Akimichi Ohsaka, Yoko Tabe, Konobu Kimura
  • METHOD, APPARATUS, AND COMPUTER PROGRAM FOR SUPPORTING DISEASE ANALYSIS, AND METHOD, APPARATUS, AND PROGRAM FOR TRAINING COMPUTER ALGORITHM
    Publication number: 20200340909
    Abstract: Disclosed is a method for supporting disease analysis, the method including classifying, on the basis of images obtained from a plurality of analysis target cells contained in a specimen collected from a subject, a morphology of each analysis target cell, and obtaining cell morphology classification information corresponding to the specimen, on the basis of a result of the classification; and analyzing a disease of the subject by means of a computer algorithm, on the basis of the cell morphology classification information.
    Type: Application
    Filed: April 24, 2020
    Publication date: October 29, 2020
    Inventors: Akimichi OHSAKA, Yoko TABE, Konobu KIMURA
  • BONE MARROW FLUID ANALYSIS METHOD, SAMPLE ANALYZER, AND NON-TRANSITORY STORAGE MEDIUM
    Publication number: 20200150021
    Abstract: Disclosed is a computer-implemented method of analyzing bone marrow fluid, including counting the number of nucleated cells and the number of lipid particles in a bone marrow fluid; and obtaining an index related to bone marrow nucleated cell density, on the basis of the number of nucleated cells and the number of lipid particles.
    Type: Application
    Filed: November 13, 2019
    Publication date: May 14, 2020
    Inventors: Akimichi OHSAKA, Yoko TABE, Koji TSUCHIYA, Konobu KIMURA
  • IMAGE ANALYSIS METHOD, APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND DEEP LEARNING ALGORITHM GENERATION METHOD
    Publication number: 20190347467
    Abstract: Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.
    Type: Application
    Filed: May 8, 2019
    Publication date: November 14, 2019
    Inventors: Akimichi OHSAKA, Yoko TABE, Konobu KIMURA