US 12,008,748 B2
Method for classifying fundus image of subject and device using same
Sang Keun Kim, Seoul (KR); Hyun-Jun Kim, Gyeonggi-do (KR); Kyuhwan Jung, Seoul (KR); and Jae Min Son, Gyeonggi-do (KR)
Assigned to VUNO, INC., Seoul (KR)
Appl. No. 17/059,868
Filed by VUNO, INC., Seoul (KR)
PCT Filed Apr. 10, 2019, PCT No. PCT/KR2019/004288
§ 371(c)(1), (2) Date Nov. 30, 2020,
PCT Pub. No. WO2019/231102, PCT Pub. Date Dec. 5, 2019.
Claims priority of application No. 10-2018-0062475 (KR), filed on May 31, 2018.
Prior Publication US 2021/0219839 A1, Jul. 22, 2021
Int. Cl. G06T 7/00 (2017.01); G06T 7/187 (2017.01); G16H 30/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G06T 7/187 (2017.01); G16H 30/20 (2018.01); G06T 2207/30041 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of classifying an image using a deep neural network, the method comprising:
acquiring, by a computing apparatus, the image;
generating, by a computing apparatus, classification information of the image based on the deep neural network; and
providing, by a computing apparatus, the classification information to an external entity,
wherein the classification information comprises a classification to which the image belongs and an activation map generated based on information of individual findings in the image related to the classification, and
wherein the activation map includes visualization information indicating at least one location related to the individual findings in the image.