US 12,114,834 B2
Method of detecting colon polyps through artificial intelligence-based blood vessel learning and device thereof
Jihwan Ko, Busan (KR)
Filed by Jihwan Ko, Busan (KR)
Filed on Apr. 14, 2022, as Appl. No. 17/720,817.
Application 17/720,817 is a continuation of application No. PCT/KR2022/001942, filed on Feb. 8, 2022.
Claims priority of application No. 10-2022-0007724 (KR), filed on Jan. 19, 2022.
Prior Publication US 2023/0225584 A1, Jul. 20, 2023
Int. Cl. A61B 1/00 (2006.01); A61B 1/31 (2006.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC A61B 1/000096 (2022.02) [A61B 1/000094 (2022.02); A61B 1/00045 (2013.01); A61B 1/31 (2013.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)] 10 Claims
OG exemplary drawing
 
1. A method of detecting colon polyps through artificial intelligence-based blood vessel learning, wherein the method is performed by a device and includes:
(a) receiving an image captured by an endoscope inserted into colon of a test subject in real time;
(b) recognizing each image section including colonic mucosa and colonic blood vessels in the image;
(c) determining whether a colonic vascular bed is disconnected in each image section;
(d) displaying a first visual effect representing a vascular bed in which the colonic blood vessels are disconnected in each image section; and
(e) displaying a second visual effect representing a continuous vascular bed of the colonic blood vessels in each image section,
wherein operation (b) is configured to recognize each image section through a deep learning model, and
wherein the deep learning model is a machine-learning model based on blood vessel data in a plurality of colonic images of the test subject obtained from external annotators, and a degree of disconnection of the vascular bed due to light irradiated into an interior of the colon and a blood vessel pattern.