公开(公告)号：US20250069420A1

公开(公告)日：2025-02-27

申请号：US18946457

申请日：2024-11-13

Applicant: Lunit Inc.

Inventor： Biagio BRATTOLI ,  Chan-Young Ock ,  Wonkyung Jung ,  Soo Ick Cho ,  Kyunghyun Paeng ,  Dong Geun Yoo

IPC: G06V20/69 ,  G06V10/22 ,  G06V10/98

Abstract: Provided is a method for analysing a pathology image, which is performed by at least one processor and includes acquiring a pathology image, inputting the acquired pathology image into a machine learning model and acquiring an analysis result for the pathology image from the machine learning model, and outputting the acquired analysis result, in which the machine learning model is a model trained by using a training data set generated based on a first pathology data set associated with a first domain and a second pathology data set associated with a second domain different from the first domain.

公开(公告)号：US20230237658A1

公开(公告)日：2023-07-27

申请号：US18193275

申请日：2023-03-30

Applicant: Lunit Inc.

Inventor： Chan-Young Ock ,  Dongguen Yoo ,  Kyunghyun Paeng

IPC: G06T7/00 ,  G06V20/69 ,  G06V10/94 ,  G16H30/20

CPC classification number: G06T7/0012 ,  G06V20/695 ,  G06V10/945 ,  G16H30/20 ,  G06T2207/30096 ,  G06T2207/20092 ,  G06V2201/03

Abstract: The present disclosure relates to a method, performed by at least one processor of an information processing system, of analyzing a pathological image. The method includes receiving a pathological image, detecting an object associated with medical information, in the received pathological image by using a machine learning model, generating an analysis result on the received pathological image, based on a result of the detecting, and outputting medical information about at least one region included in the pathological image, based on the analysis result.

公开(公告)号：US12205288B2

公开(公告)日：2025-01-21

申请号：US18193275

申请日：2023-03-30

Applicant: Lunit Inc.

Inventor： Chan-Young Ock ,  Donggeun Yoo ,  Kyunghyun Paeng

IPC: G06T7/00 ,  G06V10/94 ,  G06V20/69 ,  G16H30/20

Abstract: The present disclosure relates to a method, performed by at least one processor of an information processing system, of analyzing a pathological image. The method includes receiving a pathological image, detecting an object associated with medical information, in the received pathological image by using a machine learning model, generating an analysis result on the received pathological image, based on a result of the detecting, and outputting medical information about at least one region included in the pathological image, based on the analysis result.

公开(公告)号：US12266196B2

公开(公告)日：2025-04-01

申请号：US18491314

申请日：2023-10-20

Applicant: Lunit Inc.

Inventor： Biagio Brattoli ,  Chan-Young Ock ,  Wonkyung Jung ,  Soo Ick Cho ,  Kyunghyun Paeng ,  Dong Geun Yoo

IPC: G06V20/69 ,  G06V10/22 ,  G06V10/98

Abstract: Provided is a method for analysing a pathology image, which is performed by at least one processor and includes acquiring a pathology image, inputting the acquired pathology image into a machine learning model and acquiring an analysis result for the pathology image from the machine learning model, and outputting the acquired analysis result, in which the machine learning model is a model trained by using a training data set generated based on a first pathology data set associated with a first domain and a second pathology data set associated with a second domain different from the first domain.