US 12,094,113 B2
Artificial intelligence-based gastroscopic image diagnosis assisting system and method
Hyunji Choi, Seoul (KR); and Chung Il Ahn, Seoul (KR)
Assigned to INFINITT HEALTHCARE CO., LTD., Seoul (KR)
Filed by INFINITT HEALTHCARE CO., LTD., Seoul (KR)
Filed on Feb. 23, 2022, as Appl. No. 17/678,230.
Claims priority of application No. 10-2021-0026788 (KR), filed on Feb. 26, 2021.
Prior Publication US 2022/0277445 A1, Sep. 1, 2022
Int. Cl. G06T 7/00 (2017.01); A61B 1/00 (2006.01); G06T 7/20 (2017.01); G06T 7/70 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [A61B 1/000094 (2022.02); A61B 1/0005 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 1/000096 (2022.02); G06T 2207/10016 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/30096 (2013.01)] 5 Claims
OG exemplary drawing
 
1. A gastroscopic image diagnosis assisting system for assisting diagnosis of a medical image, the gastroscopic image diagnosis assisting system comprising a computing system,
wherein the computing system comprises:
a receiving interface configured to receive a gastroscopic image as the medical image;
memory or a database configured to store at least one medical image analysis algorithm having a function of analyzing the gastroscopic image;
a processor; and
a user display,
wherein the processor is configured to:
analyze each video frame of the gastroscopic image using the at least one medical image analysis algorithm; and
detect a finding suspected of being a lesion in the video frame,
wherein the processor is further configured to calculate coordinates of a location of the finding suspected of being a lesion,
wherein the processor is further configured to generate display information, including whether the finding suspected of being a lesion is present and the coordinates of the location of the finding suspected of being a lesion,
wherein the user display is configured to display the finding suspected of being a lesion so that it is visually distinguished in the video frame based on the display information and display the coordinates of the location of the finding suspected of being a lesion so that they are visually associated with the finding suspected of being a lesion,
wherein the processor is further configured to track a location of the video frame indicative of a current examination region with respect to a gastroscopic path, by using the at least one medical image analysis algorithm,
wherein the processor is further configured to calculate the location of the finding suspected of being a lesion in the gastroscopic path based on the location of the video frame in the gastroscopic path and the coordinates of the location of the finding suspected of being a lesion,
wherein the processor is further configured to generate display information, including whether the finding suspected of being a lesion is present, the coordinates of the location of the finding suspected of being a lesion, and the location of the finding suspected of being a lesion in the gastroscopic path, and
wherein the user display is further configured to display the location of the finding suspected of being a lesion in the gastroscopic path so that it is visually associated with the finding suspected of being a lesion based on the display information.