公开(公告)号：US20230360204A1

公开(公告)日：2023-11-09

申请号：US18222271

申请日：2023-07-14

Applicant: THYROSCOPE INC.

Inventor： Kyubo SHIN ,  Jaemin PARK ,  Jongchan KIM

IPC: G06T7/00 ,  G06T7/70 ,  G06T7/12 ,  A61B5/00 ,  A61B3/14 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G06T7/70 ,  G06T7/12 ,  A61B5/4824 ,  A61B5/4227 ,  A61B5/4878 ,  A61B3/14 ,  G16H50/20 ,  A61B5/445 ,  G06T2207/20021 ,  G06T2207/30201 ,  G06T2207/30041 ,  G06T2207/20132

Abstract: According to the present application, a computer-implemented method of predicting thyroid eye disease is disclosed. The method comprising: preparing a conjunctival hyperemia prediction model, a conjunctival edema prediction model, a lacrimal edema prediction model, an eyelid redness prediction model, and an eyelid edema prediction model, obtaining a facial image of an object, obtaining a first processed image and a second processed image from the facial image, wherein the first processed image is different from the second processed image, obtaining predicted values for each of a conjunctival hyperemia, a conjunctival edema and a lacrimal edema by applying the first processed image to the conjunctival hyperemia prediction model, the conjunctival edema prediction model, and the lacrimal edema prediction model, and obtaining predicted values for each of an eyelid redness and an eyelid edema by applying the second processed image to the eyelid redness prediction model and the eyelid edema prediction model.

公开(公告)号：US20230013792A1

公开(公告)日：2023-01-19

申请号：US17945270

申请日：2022-09-15

Applicant: THYROSCOPE INC.

Inventor： Kyubo SHIN ,  Jongchan KIM ,  Jaemin PARK

IPC: G06T7/00 ,  G16H50/20

Abstract: According to the present application, provided is a computer-implemented method of predicting a clinical activity score for conjunctival hyperemia. The method described in the present application includes: training a conjunctival hyperemia prediction model using a training set; acquiring a first image include at least one eye of a subject and an outer region of an outline of the at least one eye; outputting, by the conjunctival hyperemia prediction model executing on a processor, a first predicted value for a conjunctival hyperemia, a first predicted value for the conjunctival edema, a first predicted value for an eyelid redness, a first predicted value for an eyelid edema, and a first predicted value for a lacrimal edema; and generating a score for the conjunctival hyperemia based on the selected first predicted value for a conjunctival hyperemia.