US 12,136,218 B2
Method and system for predicting expression of biomarker from medical image
Jae Hong Aum, Seoul (KR); Chanyoung Ock, Seoul (KR); and Donggeun Yoo, Seoul (KR)
Assigned to LUNIT INC., Seoul (KR)
Filed by LUNIT INC., Seoul (KR)
Filed on Oct. 15, 2021, as Appl. No. 17/502,260.
Application 17/502,260 is a continuation of application No. PCT/KR2021/002728, filed on Mar. 5, 2021.
Claims priority of application No. 10-2020-0028686 (KR), filed on Mar. 6, 2020.
Prior Publication US 2022/0036558 A1, Feb. 3, 2022
Int. Cl. G06T 7/00 (2017.01); A61B 5/00 (2006.01); G06T 7/11 (2017.01); G16H 30/20 (2018.01); G16H 50/30 (2018.01)
CPC G06T 7/0016 (2013.01) [A61B 5/4887 (2013.01); A61B 5/7275 (2013.01); G06T 7/11 (2017.01); G16H 30/20 (2018.01); G16H 50/30 (2018.01); A61B 2576/02 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30096 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining a medical image created by capturing at least one part of a patient's body without tissue collection; and
using at least one processor:
inputting the medical image to a machine learning model;
outputting information related to a biomarker expression for each of a plurality of lesions in the medical image by using the machine learning model, wherein the plurality of lesions are detected in the medical image; and
determining information associated with tissue collection for the plurality of lesions in the medical image based on the information related to the biomarker expression.