Patents by Inventor Jae Hong AUM

Jae Hong AUM 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).

  • Publication number: 20250022135
    Abstract: The present disclosure relates to a method for predicting biomarker expression from a medical image. The method for predicting biomarker expression includes receiving a medical image, and outputting indices of biomarker expression for the at least one lesion included in the medical image by using a first machine learning model.
    Type: Application
    Filed: September 26, 2024
    Publication date: January 16, 2025
    Applicant: LUNIT INC.
    Inventors: Jae Hong AUM, Chanyoung OCK, Donggeun YOO
  • Patent number: 12136218
    Abstract: The present disclosure relates to a method for predicting biomarker expression from a medical image. The method for predicting biomarker expression includes receiving a medical image, and outputting indices of biomarker expression for the at least one lesion included in the medical image by using a first machine learning model.
    Type: Grant
    Filed: October 15, 2021
    Date of Patent: November 5, 2024
    Assignee: LUNIT INC.
    Inventors: Jae Hong Aum, Chanyoung Ock, Donggeun Yoo
  • Publication number: 20240105314
    Abstract: A computing apparatus includes: at least one memory; and at least one processor, wherein the processor generates quantitative information regarding at least one cell included in a region of interest of a pathological slide image by analyzing the pathological slide image, generates qualitative information regarding at least one tissue included in the pathological slide image by analyzing the pathological slide image, and controls a display apparatus to output at least one of the quantitative information and the qualitative information on the pathological slide image according to a manipulation of a user.
    Type: Application
    Filed: December 7, 2023
    Publication date: March 28, 2024
    Applicant: LUNIT INC.
    Inventors: Jeong Seok KANG, Jae Hong AUM, Dong Geun YOO, Tai Won CHUNG
  • Patent number: 11875893
    Abstract: A computing apparatus includes: at least one memory; and at least one processor, wherein the processor generates quantitative information regarding at least one cell included in a region of interest of a pathological slide image by analyzing the pathological slide image, generates qualitative information regarding at least one tissue included in the pathological slide image by analyzing the pathological slide image, and controls a display apparatus to output at least one of the quantitative information and the qualitative information on the pathological slide image according to a manipulation of a user.
    Type: Grant
    Filed: January 27, 2023
    Date of Patent: January 16, 2024
    Assignee: LUNIT INC.
    Inventors: Jeong Seok Kang, Jae Hong Aum, Dong Geun Yoo, Tai Won Chung
  • Publication number: 20230178220
    Abstract: A computing apparatus includes: at least one memory; and at least one processor, wherein the processor generates quantitative information regarding at least one cell included in a region of interest of a pathological slide image by analyzing the pathological slide image, generates qualitative information regarding at least one tissue included in the pathological slide image by analyzing the pathological slide image, and controls a display apparatus to output at least one of the quantitative information and the qualitative information on the pathological slide image according to a manipulation of a user.
    Type: Application
    Filed: January 27, 2023
    Publication date: June 8, 2023
    Applicant: LUNIT INC.
    Inventors: Jeong Seok KANG, Jae Hong AUM, Dong Geun YOO, Tai Won CHUNG
  • Publication number: 20220036558
    Abstract: The present disclosure relates to a method for predicting biomarker expression from a medical image. The method for predicting biomarker expression includes receiving a medical image, and outputting indices of biomarker expression for the at least one lesion included in the medical image by using a first machine learning model.
    Type: Application
    Filed: October 15, 2021
    Publication date: February 3, 2022
    Applicant: LUNIT INC.
    Inventors: Jae Hong AUM, Chanyoung OCK, Donggeun YOO