公开(公告)号：US20240046670A1

公开(公告)日：2024-02-08

申请号：US18491314

申请日：2023-10-20

Applicant: Lunit Inc.

Inventor： Biagio BRATTOLI ,  Chan-Young OCK ,  Wonkyung JUNG ,  Soo lck CHO ,  Kyunghyun PAENG ,  Dong Geun YOO

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

CPC classification number: G06V20/695 ,  G06V10/235 ,  G06V10/993

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：US20250117940A1

公开(公告)日：2025-04-10

申请号：US18989234

申请日：2024-12-20

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.