公开(公告)号：US20240193774A1

公开(公告)日：2024-06-13

申请号：US18584049

申请日：2024-02-22

申请人： Lunit Inc.

发明人： Hyo-Eun KIM ,  Hyeonseob NAM

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

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

摘要： 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

申请人： LUNIT INC.

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

IPC分类号： G06K9/00 ,  G06F3/14 ,  G06T7/00 ,  G06V10/74 ,  G16H15/00 ,  G16H50/20

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

摘要： 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

申请人： Lunit Inc.

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

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

CPC分类号： G06V20/695 ,  G06V10/235 ,  G06V10/993

摘要： 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

申请人： Lunit Inc.

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

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

CPC分类号： G06V10/774 ,  G06V20/698 ,  G06T7/0012 ,  G06V2201/03 ,  G06T2207/30024 ,  G06T2207/20081

摘要： 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

申请人： LUNIT INC.

发明人： Won Kyung Jung ,  Soo Ick Cho

IPC分类号： G06T3/40 ,  G06T11/60

CPC分类号： G06T3/40 ,  G06T11/60

摘要： 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

申请人： LUNIT INC.

发明人： Donggeun YOO

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

摘要： 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

申请人： LUNIT INC.

发明人： Na Young JEONG ,  Min Hong JANG

IPC分类号： G06Q40/08 ,  G06Q30/02

摘要： 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.

公开(公告)号：US11335455B2

公开(公告)日：2022-05-17

申请号：US16671430

申请日：2019-11-01

申请人： Lunit Inc.

发明人： Kyoung Won Lee ,  Kyung Hyun Paeng

IPC分类号： G16H30/40 ,  G06N3/08 ,  G16H30/20 ,  G06F40/169 ,  G16H10/40 ,  G06T7/00 ,  G06K9/62 ,  G16H40/20 ,  G06Q10/06

摘要： A computing device obtains information about a medical slide image, and determines a dataset type of the medical slide image and a panel of the medical slide image. The computing device assigns to an annotator account, an annotation job defined by at least the medical slide image, the determined dataset type, an annotation task, and a patch that is a partial area of the medical slide image. The annotation task includes the determined panel, and the panel is designated as one of a plurality of panels including a cell panel, a tissue panel, and a structure panel. The dataset type indicates a use of the medical slide image and is designated as one of a plurality of uses including a training use of a medical learning model and a validation use of the machine learning model.

公开(公告)号：US20220145401A1

公开(公告)日：2022-05-12

申请号：US17521008

申请日：2021-11-08

申请人： LUNIT INC.

发明人： Jeong Hoon LEE

IPC分类号： C12Q1/6886 ,  G16B40/20

摘要： A method for predicting responsiveness to therapy for cancer patient is provided, which includes acquiring a pathology slide image of a cancer patient, determining information on a plurality of lymphocytes and information on a plurality of tumor cells included in the pathology slide image, calculating a lymphocyte and tumor cell interaction score based on the information on the plurality of lymphocytes and the information on the plurality of tumor cells, and predicting responsiveness to therapy for the cancer patient by using the interaction score.

公开(公告)号：US20220036558A1

公开(公告)日：2022-02-03

申请号：US17502260

申请日：2021-10-15

申请人： LUNIT INC.

发明人： Jae Hong AUM ,  Chanyoung OCK ,  Donggeun YOO

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

摘要： 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.