公开(公告)号：US20200302286A1

公开(公告)日：2020-09-24

申请号：US16438776

申请日：2019-06-12

Applicant: Lunit Inc.

Inventor： Hyeon Seob NAM ,  Hyo Eun KIM

IPC: G06N3/08

Abstract: There is provided is a method and an apparatus for training a neural network capable of improving the performance of the neural network by performing intelligent normalization according to a target task of the neural network. The method according to some embodiments of the present disclosure includes transforming the output data into first normalized data using a first normalization technique, transforming the output data into second normalized data using a second normalization technique and generating target normalized data by aggregating the first normalized data and the second normalized data based on a learnable parameter. At this time, a rate at which the first normalization data is applied in the target normalization data is adjusted by the learnable parameter so that the intelligent normalization according to the target task can be performed, and the performance of the neural network can be improved.

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：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.