公开(公告)号：US20220036549A1

公开(公告)日：2022-02-03

申请号：US17502661

申请日：2021-10-15

Applicant: LUNIT Inc.

Inventor： Donggeun Yoo ,  Chanyoung Ock ,  Kyunghyun Paeng

IPC: G06T7/00 ,  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.

公开(公告)号：US12236591B2

公开(公告)日：2025-02-25

申请号：US17885611

申请日：2022-08-11

Applicant: LUNIT INC.

Inventor： Donggeun Yoo

IPC: G16H70/60 ,  G06T7/00 ,  G06V10/22 ,  G06V10/774 ,  G16H30/40

Abstract: A method for parallel processing a digitally scanned pathology image is performed by a plurality of processors and includes performing, by a first processor, a first operation of generating a first batch from a first set of patches extracted from a digitally scanned pathology image and providing the generated first batch to a second processor, performing, by the first processor, a second operation of generating a second batch from a second set of patches extracted from the digitally scanned pathology image and providing the generated second batch to the second processor, and performing, by the second processor, a third operation of outputting a first analysis result from the first batch by using a machine learning model, with at least part of time frame for the second operation performed by the first processor overlapping at least part of time frame for the third operation performed by the second processor.

公开(公告)号：US12295753B2

公开(公告)日：2025-05-13

申请号：US17973672

申请日：2022-10-26

Applicant: LUNIT INC.

Inventor： Donggeun Yoo ,  Sanghyup Lee ,  Minchul Kim ,  Hanjun Lee ,  Sunggyun Park

IPC: A61B6/00 ,  A61B5/00 ,  G06T7/00

Abstract: A method for determining an abnormality in a medical device from a medical image is provided. The method for determining an abnormality in a medical device comprises receiving a medical image, and detecting information on at least a part of a target medical device included in the received medical image.

公开(公告)号：US11844632B2

公开(公告)日：2023-12-19

申请号：US18177266

申请日：2023-03-02

Applicant: LUNIT INC.

Inventor： Donggeun Yoo ,  Sanghyup Lee ,  Minchul Kim ,  Hanjun Lee ,  Sunggyun Park

IPC: G06T7/00 ,  A61B6/00 ,  A61B5/00

CPC classification number: A61B5/7264 ,  A61B6/5217 ,  G06T7/0012

Abstract: A method for determining an abnormality in a medical device from a medical image is provided. The method for determining an abnormality in a medical device comprises receiving a medical image, and detecting information on at least a part of a target medical device included in the received medical image.

公开(公告)号：US12266447B2

公开(公告)日：2025-04-01

申请号：US17502304

申请日：2021-10-15

Applicant: LUNIT INC.

Inventor： Donggeun Yoo ,  Jeong Hoon Lee ,  Kyunghyun Paeng

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

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：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：US12136218B2

公开(公告)日：2024-11-05

申请号：US17502260

申请日：2021-10-15

Applicant: LUNIT INC.

Inventor： Jae Hong Aum ,  Chanyoung Ock ,  Donggeun Yoo

IPC: G06T7/00 ,  A61B5/00 ,  G06T7/11 ,  G16H30/20 ,  G16H50/30

Abstract: The present disclosure relates to a method for predicting biomarker expression from a medical image. The method for predicting biomarker expression includes receiving a medical image, and outputting indices of biomarker expression for the at least one lesion included in the medical image by using a first machine learning model.

公开(公告)号：US10824908B1

公开(公告)日：2020-11-03

申请号：US16708205

申请日：2019-12-09

Applicant: Lunit Inc.

Inventor： Jongchan Park ,  Donggeun Yoo

IPC: G16H30/20 ,  G06K9/62 ,  G06T7/00 ,  G06T7/70

Abstract: This disclosure relates to a computerized method to perform a machine learning on a relationship between medical images and metadata using a neural network and acquiring metadata by applying a machine learning model to medical images, and a method thereof. The apparatus and method may include training a prediction model for predicting metadata of medical images based on multiple medical images for learning and metadata matched with each of multiple medical images and predicting metadata of input medical image.