公开(公告)号：US20200302286A1

公开(公告)日：2020-09-24

申请号：US16438776

申请日：2019-06-12

Applicant: Lunit Inc.

Inventor： Hyeon Seob NAM ,  Hyo Eun KIM

IPC: G06N3/08

Abstract: There is provided is a method and an apparatus for training a neural network capable of improving the performance of the neural network by performing intelligent normalization according to a target task of the neural network. The method according to some embodiments of the present disclosure includes transforming the output data into first normalized data using a first normalization technique, transforming the output data into second normalized data using a second normalization technique and generating target normalized data by aggregating the first normalized data and the second normalized data based on a learnable parameter. At this time, a rate at which the first normalization data is applied in the target normalization data is adjusted by the learnable parameter so that the intelligent normalization according to the target task can be performed, and the performance of the neural network can be improved.

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：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：US20250069691A1

公开(公告)日：2025-02-27

申请号：US18683698

申请日：2022-08-11

Applicant: Lunit Inc.

Inventor： Ga Hee PARK

IPC: G16B25/10 ,  G06T7/00 ,  G16B40/20 ,  G16H30/40 ,  G16H50/50

Abstract: A computing device includes: at least one memory; and at least one processor, wherein the at least one processor is configured to obtain information related to tissues or cells represented in a pathological slide image by analyzing the pathological slide image, predict a ratio of circulating tumor deoxyribonucleic acid (DNA) to cell free DNA, based on the information, and generate guidance related to a follow-up examination, based on the ratio.

公开(公告)号：US20250029707A1

公开(公告)日：2025-01-23

申请号：US18906373

申请日：2024-10-04

Applicant: Lunit Inc.

Inventor： Jong Chan PARK ,  Dong Geun YOO ,  Ki Hyun YOU ,  Hyeon Seob NAM ,  Hyun Jae LEE ,  Sang Hyup LEE

IPC: G16H30/20 ,  A61B5/00 ,  G06F18/214 ,  G06N20/00 ,  G06T7/00 ,  G06T7/70 ,  G06V10/70 ,  G06V10/75 ,  G06V10/82 ,  G06V30/166 ,  G16H30/00 ,  G16H30/40

Abstract: The present disclosure relates to a medical image analysis method using a processor and a memory which are hardware. The method includes generating predicted second metadata for a medical image by using a prediction model, and determining a processing method of the medical image based on one of first metadata stored corresponding to the medical image and the second metadata.

公开(公告)号：US20240282434A1

公开(公告)日：2024-08-22

申请号：US18650347

申请日：2024-04-30

Applicant: Lunit Inc. ,  SEOUL NATIONAL UNIVERSITY HOSPITAL

Inventor： Min Chul KIM ,  Chang Min PARK ,  Eui Jin HWANG

IPC: G16H30/40 ,  A61B6/00 ,  A61B6/46 ,  A61B34/10 ,  A61M1/04 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/70 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H50/20

CPC classification number: G16H30/40 ,  A61B6/5217 ,  A61B34/10 ,  A61M1/04 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/70 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H50/20 ,  A61B6/461 ,  A61B2034/107 ,  G06T2207/20081 ,  G06T2207/30012 ,  G06T2207/30061 ,  G06V2201/03

Abstract: Some embodiments of the present disclosure provide a pneumothorax detection method performed by a computing device. The method may comprise obtaining predicted pneumothorax information, predicted tube information, and a predicted spinal baseline with respect to an input image from a trained pneumothorax prediction model; determining at least one pneumothorax representative position for the predicted pneumothorax information and at least one tube representative position for the predicted tube information, in a prediction image in which the predicted pneumothorax information and the predicted tube information are displayed; dividing the prediction image into a first region and a second region by the predicted spinal baseline; and determining a region in which the at least one pneumothorax representative position and the at least one tube representative position exist among the first region and the second region.

公开(公告)号：US20240249826A1

公开(公告)日：2024-07-25

申请号：US18416285

申请日：2024-01-18

Applicant: Lunit Inc.

Inventor： Kyung Hyun PAENG ,  Chan Young OCK ,  Dong Geun YOO

IPC: G16H30/40 ,  G16H20/10

CPC classification number: G16H30/40 ,  G16H20/10

Abstract: Provided is a computing device including at least one memory, and at least one processor configured to obtain feature information corresponding to a pathological slide image, generate medical information associated with the pathological slide image based on the feature information, and output at least one of the medical information and additional information based on the medical information.

公开(公告)号：US20240233123A1

公开(公告)日：2024-07-11

申请号：US18610750

申请日：2024-03-20

Applicant: LUNIT INC.

Inventor： Jeong Seok KANG ,  Dong Geun YOO ,  Soo Ick CHO ,  Won Kyung JUNG

IPC: G06T7/00 ,  G06F3/14 ,  G06V10/74 ,  G16H15/00 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G06F3/14 ,  G06V10/761 ,  G16H15/00 ,  G16H50/20 ,  G06T2207/20081 ,  G06T2207/30024

Abstract: A computing device includes at least one memory, and at least one processor configured to generate, based on first analysis on a pathological slide image, first biomarker expression information, generate, based on a user input for updating at least some of results of the first analysis, second biomarker expression information about the pathological slide image, and control a display device to output a report including medical information about at least some regions included in the pathological slide image, based on at least one of the first biomarker expression information or the second biomarker expression information.

公开(公告)号：US20240127431A1

公开(公告)日：2024-04-18

申请号：US18273106

申请日：2022-03-30

Applicant: Lunit Inc.

Inventor： Sunggyun PARK ,  Kihwan MIM ,  Seungwook PAEK ,  Donggeun YOO

IPC: G06T7/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10116 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A computing apparatus operated by at least one processor includes a target artificial intelligence model configured to learn at least one task, and perform a task for an input medical image to output a target result, and a confidence prediction model configured to obtain at least one impact factor that affects the target result based on the input medical image, and estimate confidence information for the target result based on the impact factor.

公开(公告)号：US20240071621A1

公开(公告)日：2024-02-29

申请号：US18270895

申请日：2022-02-09

Applicant: Lunit Inc.

Inventor： Ki Hwan KIM ,  Hyeonseob NAM

IPC: G16H50/30 ,  G06T7/00 ,  G16H30/40 ,  G16H50/20

CPC classification number: G16H50/30 ,  G06T7/0012 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method for predicting a risk of occurrence of a lesion is provided, which is performed by one or more processors and includes acquiring a medical image of a subject, using a machine learning model, predicting a possibility of occurrence of a lesion of the subject from acquired medical image, and outputting a prediction result, in which the machine learning model may be a model trained with a plurality of training medical images and a risk of occurrence of the lesion associated with each training medical image.