公开(公告)号：US12277691B2

公开(公告)日：2025-04-15

申请号：US17363793

申请日：2021-06-30

Applicant: LUNIT INC.

Inventor： Hyunjae Lee

IPC: G06T7/00

Abstract: Provided is a method for providing annotation information for a 3D image, which may include outputting a representative image for the 3D image including a plurality of slices, selecting at least one pixel associated with a target item from among a plurality of pixels included in the representative image, outputting, among the plurality of slices, a slice associated with the selected at least one pixel, and receiving an annotation for a partial region of the output slice.

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：US12136483B2

公开(公告)日：2024-11-05

申请号：US18627705

申请日：2024-04-05

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 ,  G06T7/00 ,  G06V30/166 ,  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：US20240193774A1

公开(公告)日：2024-06-13

申请号：US18584049

申请日：2024-02-22

Applicant: Lunit Inc.

Inventor： Hyo-Eun KIM ,  Hyeonseob NAM

IPC: G06T7/00 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764

CPC classification number: G06T7/0012 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method for interpreting an input image by a computing device operated by at least one processor is provided. The method for interpreting an input image comprises storing an artificial intelligent (AI) model that is trained to classify a lesion detected in the input image as suspicious or non-suspicious and, under a condition of being suspicious, to classify the lesion detected in the input image as malignant or benign-hard representing that the lesion is suspicious but determined to be benign, receiving an analysis target image, by using the AI model, obtaining a classification class of a target lesion detected in the analysis target image and, when the classification class is the suspicious, obtaining at least one of a probability of being suspicious, a probability of being benign-hard, and a probability of malignant for the target lesion, and outputting an interpretation result including at least one probability obtained for the target lesion.

公开(公告)号：US11967076B2

公开(公告)日：2024-04-23

申请号：US18122837

申请日：2023-03-17

Applicant: LUNIT INC.

Inventor： Jeong Seok Kang ,  Dong Geun Yoo ,  Soo Ick Cho ,  Won Kyung Jung

IPC: G06K9/00 ,  G06F3/14 ,  G06T7/00 ,  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：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：US20230281971A1

公开(公告)日：2023-09-07

申请号：US18178233

申请日：2023-03-03

Applicant: Lunit Inc.

Inventor： Dong Geun YOO ,  Sang Hoon SONG ,  Chan Young OCK ,  Won Kyung JUNG ,  Soo Ick CHO ,  Kyung Hyun PAENG

IPC: G06V10/774 ,  G06V20/69 ,  G06T7/00

CPC classification number: G06V10/774 ,  G06V20/698 ,  G06T7/0012 ,  G06V2201/03 ,  G06T2207/30024 ,  G06T2207/20081

Abstract: Provided is a computing device including at least one memory, and at least one processor configured to obtain a first pathological slide image one of a first object and biological information of the first object, generate training data by using at least one first patch included in the first pathological slide image, and the biological information, train a first machine learning model based on the training data, and analyze a second pathological slide image of a second object by using the trained first machine learning model.

公开(公告)号：US20230206388A1

公开(公告)日：2023-06-29

申请号：US18087382

申请日：2022-12-22

Applicant: LUNIT INC.

Inventor： Won Kyung Jung ,  Soo Ick Cho

IPC: G06T3/40 ,  G06T11/60

CPC classification number: G06T3/40 ,  G06T11/60

Abstract: A method of outputting a pathology slide image includes receiving a user input related to a method of outputting at least one region included in the pathology slide image, based on the user input, determining an area of a guide to be output on the pathology slide image and a region of the pathology slide image included in the guide, and based on the determined area and region, outputting the pathology slide image on which the guide is overlaid.

公开(公告)号：US20230052847A1

公开(公告)日：2023-02-16

申请号：US17885611

申请日：2022-08-11

Applicant: LUNIT INC.

Inventor： Donggeun YOO

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

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：US20230012886A1

公开(公告)日：2023-01-19

申请号：US17756906

申请日：2020-05-29

Applicant: LUNIT INC.

Inventor： Na Young JEONG ,  Min Hong JANG

IPC: G06Q40/08 ,  G06Q30/02

Abstract: Provided are an artificial intelligence insurance server and a method for providing an artificial intelligence insurance service. The artificial intelligence insurance server comprises a receiving unit for receiving input data including medical data of an insurance user, a comparison data selection unit for selecting comparison data based on the input data, and deriving first analysis data by analyzing the comparison data, an artificial intelligence analysis unit for obtaining second analysis data derived by performing artificial intelligence analysis on the input data, a comparison unit for comparing the first and the second analysis data and generating final analysis data using the first and the second analysis data and a decision-making unit for making at least one insurance-related decision using the final analysis data.