US 12,268,528 B2
System and method for analyzing corneal lesion using anterior ocular segment image, and computer-readable recording medium
Dong Hui Lim, Seoul (KR); Gyu Le Han, Seoul (KR); Young Jun Kim, Busan (KR); Yong Man Ro, Daejeon (KR); and Hye Bin Lee, Daejeon (KR)
Assigned to SAMSUNG LIFE PUBLIC WELFARE FOUNDATION, (KR)
Appl. No. 17/784,140
Filed by SAMSUNG LIFE PUBLIC WELFARE FOUNDATION, Seoul (KR)
PCT Filed Dec. 10, 2020, PCT No. PCT/KR2020/018049
§ 371(c)(1), (2) Date Jul. 29, 2022,
PCT Pub. No. WO2021/118255, PCT Pub. Date Jun. 17, 2021.
Claims priority of application No. 10-2019-0164182 (KR), filed on Dec. 10, 2019.
Prior Publication US 2023/0022921 A1, Jan. 26, 2023
Int. Cl. A61B 3/117 (2006.01); A61B 3/00 (2006.01); A61B 5/00 (2006.01); G06T 7/00 (2017.01); G06T 7/73 (2017.01); G06V 10/44 (2022.01)
CPC A61B 5/7264 (2013.01) [A61B 3/0025 (2013.01); A61B 3/117 (2013.01); G06T 7/0012 (2013.01); G06T 7/73 (2017.01); G06V 10/44 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30096 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A system for analyzing a corneal lesion using an anterior segment image, the system comprising:
an image acquisition unit configured to acquire the anterior segment image from an eyeball of a subject;
a feature extractor configured to extract feature information on a position and a cause of a lesion in a cornea of the eyeball from the anterior segment image by applying a convolution layer to the anterior segment image through machine learning on the basis of a database in which clinical information pre-acquired by analyzing positions and causes of lesions in the corneas of subjects is stored; and
a result determination unit configured to identify a position of the cornea from the anterior segment image using the feature information and to analyze and determine the position and the cause of the lesion in the cornea from the position of the cornea;
wherein the feature extractor comprises a slit lamp mask adjustment module adjusting a slit beam image present in a region of the anterior segment image,
wherein the slit lamp mask adjustment module applies the convolution layer to the anterior segment image and an already-collected slit lamp region mask and then adjusts a masking ratio by applying a weighting factor for a slit beam portion.