公开(公告)号：US11996184B2

公开(公告)日：2024-05-28

申请号：US18086977

申请日：2022-12-22

Applicant: Lunit Inc. ,  SEOUL NATIONAL UNIVERSITY HOSPITAL

Inventor： Min Chul Kim ,  Chang Min Park ,  Eui Jin Hwang

IPC: G06T7/11 ,  A61B6/00 ,  A61B6/46 ,  A61B34/10 ,  A61M1/04 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/00 ,  G06T7/70 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  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：US20240105314A1

公开(公告)日：2024-03-28

申请号：US18532572

申请日：2023-12-07

Applicant: LUNIT INC.

Inventor： Jeong Seok KANG ,  Jae Hong AUM ,  Dong Geun YOO ,  Tai Won CHUNG

IPC: G16H30/40 ,  G16H10/40

CPC classification number: G16H30/40 ,  G16H10/40

Abstract: A computing apparatus includes: at least one memory; and at least one processor, wherein the processor generates quantitative information regarding at least one cell included in a region of interest of a pathological slide image by analyzing the pathological slide image, generates qualitative information regarding at least one tissue included in the pathological slide image by analyzing the pathological slide image, and controls a display apparatus to output at least one of the quantitative information and the qualitative information on the pathological slide image according to a manipulation of a user.

公开(公告)号：US11830227B2

公开(公告)日：2023-11-28

申请号：US17097036

申请日：2020-11-13

Applicant: Lunit Inc.

Inventor： HyunJae Lee

IPC: G16H30/40 ,  G06N3/08 ,  G06F18/214 ,  G06F18/22 ,  G06V20/64 ,  G06N3/00 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06V20/64 ,  G06F18/2148 ,  G06F18/22 ,  G06N3/00 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G06V2201/03

Abstract: A 3D image sliced into a plurality of slices including the first slice on which a label is annotated and a plurality of second slices on which the label is not annotated is provided as a training sample. A computing device trains a neural network based on the first slice, determines an expandable second slice which is expandable from the first slice from among the plurality of second slices based on the trained neural network; and trains the neural network based on expanded slices including the expandable second slice.

公开(公告)号：US20230237658A1

公开(公告)日：2023-07-27

申请号：US18193275

申请日：2023-03-30

Applicant: Lunit Inc.

Inventor： Chan-Young Ock ,  Dongguen Yoo ,  Kyunghyun Paeng

IPC: G06T7/00 ,  G06V20/69 ,  G06V10/94 ,  G16H30/20

CPC classification number: G06T7/0012 ,  G06V20/695 ,  G06V10/945 ,  G16H30/20 ,  G06T2207/30096 ,  G06T2207/20092 ,  G06V2201/03

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：US20230237653A1

公开(公告)日：2023-07-27

申请号：US18093162

申请日：2023-01-04

Applicant: LUNIT INC.

Inventor： Jung Hee JANG ,  Do Hyun LEE ,  Woo Suk LEE ,  Rae Yeong LEE

IPC: G06T7/00 ,  G06T15/00 ,  G06T3/40

CPC classification number: G06T7/0012 ,  G06T3/40 ,  G06T15/00

Abstract: Provided are a method and an apparatus for interlocking a lesion location between a 2D medical image and 3D tomosynthesis images including a plurality of 3D image slices.

公开(公告)号：US20230206432A1

公开(公告)日：2023-06-29

申请号：US17703484

申请日：2022-03-24

Applicant: LUNIT INC.

Inventor： Ga Hee PARK ,  Chan Young OCK ,  Kyung Hyun PAENG

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

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

Abstract: Provided is a computing apparatus including: at least one memory; and at least one processor, wherein the at least one processor is configured to: perform a first classification on a plurality of tissues expressed in a pathological slide image by analyzing the pathological slide image, perform a second classification on a plurality of cells expressed in a pathological slide image by analyzing the pathological slide image, and calculate tumor purity including information on noise included in the pathological slide image by combining a first classification result and a second classification result.

公开(公告)号：US20230200740A1

公开(公告)日：2023-06-29

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: A61B5/00 ,  A61B6/00

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：US20230178220A1

公开(公告)日：2023-06-08

申请号：US18102465

申请日：2023-01-27

Applicant: LUNIT INC.

Inventor： Jeong Seok KANG ,  Jae Hong AUM ,  Dong Geun YOO ,  Tai Won CHUNG

IPC: G16H30/40 ,  G16H10/40

CPC classification number: G16H30/40 ,  G16H10/40

Abstract: A computing apparatus includes: at least one memory; and at least one processor, wherein the processor generates quantitative information regarding at least one cell included in a region of interest of a pathological slide image by analyzing the pathological slide image, generates qualitative information regarding at least one tissue included in the pathological slide image by analyzing the pathological slide image, and controls a display apparatus to output at least one of the quantitative information and the qualitative information on the pathological slide image according to a manipulation of a user.

公开(公告)号：US11663718B2

公开(公告)日：2023-05-30

申请号：US17721515

申请日：2022-04-15

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：US20230129667A1

公开(公告)日：2023-04-27

申请号：US18086977

申请日：2022-12-22

Applicant: Lunit Inc. ,  SEOUL NATIONAL UNIVERSITY HOSPITAL

Inventor： Min Chul KIM ,  Chang Min Park ,  Eui Jin Hwang

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

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.