公开(公告)号：US20240350002A1

公开(公告)日：2024-10-24

申请号：US18421592

申请日：2024-01-24

Applicant: DeepEyeVision Inc.

Inventor： Siamak Yousefi ,  Hidenori Takahashi ,  Hazem Abdelmotaal ,  Rossen Mihaylov Hazarbassanov ,  Ali H. Al-Timemy ,  Alexandru Lavric

IPC: A61B3/10 ,  A61B3/00 ,  A61B3/14 ,  G06T7/00 ,  G16H50/20

CPC classification number: A61B3/101 ,  A61B3/0025 ,  A61B3/14 ,  G06T7/0016 ,  G16H50/20 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/30041

Abstract: An ophthalmic system includes an acquiring unit which acquires a moving image of a subject's eye captured by an imaging apparatus that opposes a subject, an analyzing unit which specifies an analysis object region in the subject's eye based on the moving image and which analyzes a spatial and/or temporal distribution of information related to characteristics of a surface of the subject's eye in the analysis object region, an assessing unit which assesses a possibility of the subject's eye being affected by a predetermined ophthalmic disease based on the distribution of information related to the characteristics and which generates a classification result of classifying the subject's eye into a predetermined classification group related to the affection of the ophthalmic disease in accordance with a degree of the possibility, and a diagnosis support information generating unit which generates diagnosis support information.

公开(公告)号：US12119116B2

公开(公告)日：2024-10-15

申请号：US18562901

申请日：2022-09-26

Applicant: DEEPEYEVISION INC.

Inventor： Yusuke Kondo ,  Hidenori Takahashi

IPC: G16H50/20 ,  G06T7/00 ,  G06V10/44 ,  G06V10/764 ,  G06V20/70 ,  G16H30/40

CPC classification number: G16H50/20 ,  G06T7/0012 ,  G06V10/44 ,  G06V10/764 ,  G06V20/70 ,  G16H30/40 ,  G06T2207/30096

Abstract: An information processing apparatus that comprises a processor configured to: acquire an image acquisition unit that acquires a medical image; extract one or more image feature values from the medical image; infer one or more diseases predicted from the medical image based on the one or more image feature values and a classification basis, the classification basis being a set of C basis vectors with each basis vector representing correlations between a disease of a set of C diseases and other diseases by using a vector of a certain dimension, wherein C is an integer of 2 or more; and output results identifying the one or more inferred diseases.