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：US20200302290A1

公开(公告)日：2020-09-24

申请号：US16676694

申请日：2019-11-07

Applicant: Lunit Inc.

Inventor： Hyun Jae LEE

IPC: G06N3/08 ,  G06N20/00 ,  G06T3/00 ,  G06F17/18

Abstract: A method of recalibrating a feature data of each channel generated by a convolution layer of a convolution neural network is provided. According to some embodiments, since an affine transformation is applied to the feature data of each channel independently of the feature data of the other channel, the overall number of parameters defining the affine transformation is minimized. As a result, the amount of computations required in performing the feature data recalibration can be reduced.

公开(公告)号：US20240249824A1

公开(公告)日：2024-07-25

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 ,  G06F18/214 ,  G06N20/00 ,  G06T7/00 ,  G06T7/70 ,  G06V10/70 ,  G06V30/166 ,  G16H30/40

CPC classification number: G16H30/20 ,  G06F18/214 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/70 ,  G06V10/70 ,  G06V30/166 ,  G16H30/40 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004

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：US20220101984A1

公开(公告)日：2022-03-31

申请号：US17426336

申请日：2020-05-22

Applicant: Lunit Inc.

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

IPC: G16H30/40 ,  G16H30/20 ,  G06V30/166 ,  G06N20/00

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：US20220415013A1

公开(公告)日：2022-12-29

申请号：US17895315

申请日：2022-08-25

Applicant: LUNIT INC.

Inventor： Dong Geun YOO ,  Min Chul KIM ,  Hyo Eun KIM ,  Hyun Jae LEE ,  Jae Hwan LEE ,  Hae Joon KIM

IPC: G06V10/46 ,  G06V10/25 ,  G06V10/44 ,  G06V10/74 ,  G06T7/70 ,  G06T11/20

Abstract: A method for operating a medical imaging device includes obtaining lesion information on at least one lesion detected from a medical image, determining a shape and a position of at least one contour corresponding to the at least one lesion based on the obtained lesion information, determining a position of at least one text region that includes a text indicating the lesion information on the at least one lesion in the medical image, and displaying the at least one contour and the text included in the at least one text region on the medical image, based on the determined shape and position of the at least one contour and the determined position of the at least one text region.