US 11,928,817 B2
Method for filtering normal medical image, method for interpreting medical image, and computing device implementing the methods
Jongchan Park, Seoul (KR)
Assigned to LUNIT INC., Seoul (KR)
Filed by Lunit Inc., Seoul (KR)
Filed on Dec. 22, 2022, as Appl. No. 18/086,962.
Application 18/086,962 is a continuation of application No. 17/077,142, filed on Oct. 22, 2020, granted, now 11,574,727.
Claims priority of application No. 10-2020-0072257 (KR), filed on Jun. 15, 2020.
Prior Publication US 2023/0128769 A1, Apr. 27, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10116 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30064 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of reading a medical image by a computing device operated by at least one processor, the method comprising:
obtaining an abnormality score of an input image using an artificial intelligence model;
performing a first stage analysis on the input image based on the abnormality score, performing the first stage analysis including classifying the input image as strong normal or non-strong normal, and excluding the input image classified as the strong normal from being subsequently analyzed by the artificial intelligence model that distinguishes the input image into classes including weak normal or abnormal when the abnormality score is less than or equal to a cut-off score; and
performing a second stage analysis subsequent to the first stage analysis on the input image when the abnormality score is greater than the cut-off score, performing the second stage analysis including obtaining an analysis result of the input image using the artificial intelligence model that distinguishes the input image into classes including weak normal or abnormal when the abnormality score is greater than the cut-off score.