US 12,380,554 B2
Method for detecting abnormal findings and generating interpretation text of medical image
Minki Chung, Seoul (KR); Beomhee Park, Seoul (KR); Seo Taek Kong, Yongin-si (KR); and Younjoon Chung, Seoul (KR)
Assigned to VUNO Inc., Seoul (KR)
Filed by VUNO Inc., Seoul (KR)
Filed on Sep. 9, 2021, as Appl. No. 17/471,001.
Claims priority of application No. 10-2020-0117511 (KR), filed on Sep. 14, 2020.
Prior Publication US 2022/0084200 A1, Mar. 17, 2022
Int. Cl. G06V 20/40 (2022.01); G06T 7/00 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01)
CPC G06T 7/0012 (2013.01) [G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2207/30096 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method performed on one or more processors of a computing device, the method comprising:
receiving a body medical image;
detecting one or more lesions from the received body medical image using a lesion detection model;
extracting a body region having anatomical significance from the received body medical image using an anatomical analysis model;
generating anatomical location information for the one or more lesions by matching the detection result for the one or more lesions with the extracted body region; and
generating a diagnosis result for the received body medical image, based on the anatomical location information for the one or more lesions,
wherein the body region having the anatomical significance is a body organ that is likely to be a point of occurrence of the one or more lesions or a body organ that is a target of the detection of the one or more lesions, and
wherein the generating the diagnosis result for the received body medical image, based on the anatomical location information for the one or more lesions comprising:
generating clinical information indicating clinical significance in a situation in which the one or more lesions are related to the anatomical location information,
wherein the clinical information comprising:
an occurrence frequency of lesion for each of regions divided from the body region having the anatomical significance; and
a degree of risk of lesion for each of the divided regions,
wherein the generating the clinical information indicating the clinical significance in the situation in which the one or more lesions are related to the anatomical location information comprising:
changing a confidence score determined in the step of detecting the one or more lesions, based on the occurrence frequency of lesion for each of the divided regions which is obtained from clinical statistical information; and
generating the clinical information, based on the changed confidence score and based on the degree of risk of lesion for each of the divided regions which is obtained from the clinical statistical information.