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：US20230298171A1

公开(公告)日：2023-09-21

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

CPC classification number: G06T7/0012 ,  G06V10/761 ,  G06F3/14 ,  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：US20200151613A1

公开(公告)日：2020-05-14

申请号：US16684627

申请日：2019-11-15

Applicant: Lunit Inc.

Inventor： Dong Geun YOO ,  Kyung Hyun Paeng ,  Sung Gyun Park

IPC: G06N20/20 ,  G06F17/18 ,  G06F11/34

Abstract: A machine learning method that may reduce an annotation cost and may improve performance of a target model is provided. Some embodiments of the present disclosure may provide a machine learning method performed by a computing device, including: acquiring a training dataset of a first model including a plurality of data samples to which label information is not given; calculating a miss-prediction probability of the first model on the plurality of data samples; configuring a first data sample group by selecting at least one data sample from the plurality of data samples based on the calculated miss-prediction probability; acquiring first label information on the first data sample group; and performing first learning on the first model by using the first data sample group and the first label information.