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：US20220037024A1

公开(公告)日：2022-02-03

申请号：US17502304

申请日：2021-10-15

Applicant: LUNIT INC.

Inventor： Donggeun YOO ,  Jeong Hoon LEE ,  Kyunghyun PAENG

IPC: G16H50/20 ,  G16H50/70 ,  G16H10/60 ,  G06T7/00

Abstract: A method for generating a medical prediction related to a biomarker from medical data is provided, which includes obtaining medical data associated with a patient, determining a region of interest in the medical data, extracting one or more features associated with the medical data based on the region of interest, and generating a medical prediction for the patient based on the extracted one or more features.

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.

公开(公告)号：US20220036971A1

公开(公告)日：2022-02-03

申请号：US17502339

申请日：2021-10-15

Applicant: LUNIT INC.

Inventor： Donggeun YOO ,  Chanyoung OCK ,  Kyunghyun PAENG

IPC: G16B20/00 ,  G06N3/02

Abstract: The present disclosure relates to a method, performed by at least one computing device, for predicting a response to an immune checkpoint inhibitor. The method includes receiving a first pathology slide image, detecting one or more target items in the first pathology slide image, determining at least one of an immune phenotype of at least some regions in the first pathology slide image or information associated with the immune phenotype based on the detection result for the one or more target items, and generating a prediction result as to whether or not a patient associated with the first pathology slide image responds to the immune checkpoint inhibitor, based on the immune phenotype of the at least some regions in the first pathology slide image or the information associated with the immune phenotype.

公开(公告)号：US20230420072A1

公开(公告)日：2023-12-28

申请号：US18463962

申请日：2023-09-08

Applicant: LUNIT INC.

Inventor： Donggeun YOO ,  Chanyoung OCK ,  Kyunghyun PAENG

IPC: G16B20/00 ,  G06N3/02

CPC classification number: G16B20/00 ,  G06N3/02

Abstract: The present disclosure relates to a method, performed by at least one computing device, for predicting a response to an immune checkpoint inhibitor. The method includes receiving a first pathology slide image, detecting one or more target items in the first pathology slide image, determining at least one of an immune phenotype of at least some regions in the first pathology slide image or information associated with the immune phenotype based on the detection result for the one or more target items, and generating a prediction result as to whether or not a patient associated with the first pathology slide image responds to the immune checkpoint inhibitor, based on the immune phenotype of the at least some regions in the first pathology slide image or the information associated with the immune phenotype.

公开(公告)号：US20230419492A1

公开(公告)日：2023-12-28

申请号：US18463912

申请日：2023-09-08

Applicant: LUNIT INC.

Inventor： Donggeun YOO ,  Chanyoung OCK ,  Kyunghyun PAENG

IPC: G06T7/00 ,  G16B20/00 ,  G06N3/02

CPC classification number: G06T7/0012 ,  G16B20/00 ,  G06N3/02

Abstract: The present disclosure relates to a method, performed by at least one computing device, for providing information associated with immune phenotype for pathology slide image. The method may include obtaining information associated with immune phenotype for one or more regions of interest (ROIs) in a pathology slide image, generating, based on the information associated with the immune phenotype for one or more ROIs, an image indicative of the information associated with the immune phenotype, and outputting the image indicative of the information associated with immune phenotype.