公开(公告)号：US11100359B2

公开(公告)日：2021-08-24

申请号：US16694826

申请日：2019-11-25

Applicant: Lunit Inc.

Inventor： Minje Jang

IPC: G06K9/46 ,  G06K9/00 ,  G06K9/62 ,  G06T7/00

Abstract: An image analysis method and an image analysis system are disclosed. The method may include extracting training raw graphic data including at least one first node corresponding to a plurality of histological features of a training tissue slide image, and at least one first edge defined by a relationship between the histological features and generating training graphic data by sampling the first node of the training raw graphic data. The method may also include determining a parameter of a readout function by training a graph neural network (GNN) using the training graphic data and training output data corresponding to the training graphic data, and extracting inference graphic data including at least one second node corresponding to a plurality of histological features of an inference tissue slide image, and at least one second edge decided by a relationship between the histological features of the inference tissue slide image.

公开(公告)号：US11630985B2

公开(公告)日：2023-04-18

申请号：US16694843

申请日：2019-11-25

Applicant: Lunit Inc.

Inventor： Minje Jang

IPC: G06T7/00 ,  G06N3/04 ,  G06N3/08 ,  G06V10/774 ,  G06V10/82 ,  G06N3/045 ,  G06V30/19

Abstract: An image analysis method and an image analysis system are disclosed. The method may include extracting training graphic data including at least one first node corresponding to a plurality of histological features of a training tissue slide image, and at least one first edge defined by a relationship between the histological features The method may also include determining a parameter of a readout function by training a graph neural network (GNN) using the training graphic data and training output data corresponding to the training graphic data. The method may also include extracting inference graphic data including at least one second node corresponding to a plurality of histological features of an inference tissue slide image, and at least one second edge decided by a relationship between the histological features, The method may further include deriving inference output data by the readout function after inputting the inference graphic data to the GNN.

公开(公告)号：US11854194B2

公开(公告)日：2023-12-26

申请号：US17375876

申请日：2021-07-14

Applicant: Lunit Inc.

Inventor： Minje Jang

IPC: G06F18/214 ,  G06V10/82 ,  G06T7/00 ,  G06V10/426 ,  G06V20/69 ,  G06F18/25 ,  G06V10/764 ,  G06V10/774 ,  G06V10/80

CPC classification number: G06T7/0012 ,  G06F18/214 ,  G06F18/25 ,  G06V10/426 ,  G06V10/764 ,  G06V10/774 ,  G06V10/80 ,  G06V10/82 ,  G06V20/69 ,  G06T2207/20072 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06V2201/03

Abstract: An image analysis method and an image analysis system are disclosed. The method may include extracting training raw graphic data including at least one first node corresponding to a plurality of histological features of a training tissue slide image, and at least one first edge defined by a relationship between the histological features and generating training graphic data by sampling the first node of the training raw graphic data. The method may also include determining a parameter of a readout function by training a graph neural network (GNN) using the training graphic data and training output data corresponding to the training graphic data, and extracting inference graphic data including at least one second node corresponding to a plurality of histological features of an inference tissue slide image, and at least one second edge decided by a relationship between the histological features of the inference tissue slide image.