公开(公告)号：US20230368373A1

公开(公告)日：2023-11-16

申请号：US17310311

申请日：2021-05-06

Applicant: MEDICALIP CO., LTD.

Inventor： Hyuk Hee Lee ,  Soon Ho Yoon ,  Doo Hee Lee

IPC: G06T7/00 ,  G06V10/774 ,  G06T7/62 ,  G06T7/11 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G06V10/774 ,  G06T7/62 ,  G06T7/11 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/30012 ,  G06T2207/30101 ,  G06T2207/30088 ,  G06V2201/033 ,  G06T2207/10081

Abstract: Provided are a method and an apparatus for analyzing a body composition by using a medical image. The apparatus for analyzing the body composition trains a first artificial intelligence model by using training data labelling a body tissue region, such as muscle or fat, in a medical image for training, and then, segments a body tissue from an examination medical image by using the first artificial intelligence model and outputs body composition information based on a region, a volume, or a weight of the body tissue of the examination medical image. The disclosure is a technique developed through the Seoul Business Agency's 2020 support project for artificial intelligence (AI) technology industrialization (CY20053), “AI Verification and Industrialization of Computed Tomography (CT) Image-based Opportunistic Screening of Metabolic Syndrome, Osteoporosis, and Muscle Reduction.”

公开(公告)号：US20200184639A1

公开(公告)日：2020-06-11

申请号：US16665711

申请日：2019-10-28

Applicant: Medicalip Co., Ltd.

Inventor： Sang Joon Park ,  Doo Hee Lee ,  Soon Ho Yoon

IPC: G06T7/00 ,  G06T7/11 ,  G06T11/00

Abstract: Provided is a method and apparatus for reconstructing a medical image. The apparatus for reconstructing a medical image generates at least one base image by reducing a dimensionality of a three-dimensional (3D) medical image, generates at least one segmented image by reducing a dimensionality of a 3D image of a region of a tissue segmented from the 3D medical image or a 3D image of a region excluding the tissue from the 3D medical image, and trains, by using training data including the at least one base image and the at least one segmented image, an artificial intelligence (AI) model that separates at least one tissue from a medical image showing a plurality of tissues overlapping one another on the same plane.

公开(公告)号：US20240378724A1

公开(公告)日：2024-11-14

申请号：US18657224

申请日：2024-05-07

Applicant: MEDICALIP CO., LTD.

Inventor： Sang Joon Park ,  Soon Ho Yoon ,  Seo Woo Lee

IPC: G06T7/00 ,  G06T7/11

Abstract: Provided are a method and apparatus for improving the performance of a deep learning model. The apparatus for improving the performance of a deep learning model prepares a medical image and at least one segmented image obtained by segmenting at least one human tissue from the medical image and trains the deep learning model by respectively inputting the medical image and the at least one segmented image to a plurality of channels.

公开(公告)号：US20220398752A1

公开(公告)日：2022-12-15

申请号：US17836948

申请日：2022-06-09

Applicant: MEDICALIP CO., LTD.

Inventor： Soon Ho Yoon ,  Hyuk Hee Lee ,  Sang Joon Park

IPC: G06T7/30 ,  A61B6/03 ,  A61B6/00 ,  G06T7/00 ,  G06T7/11 ,  G16H30/40

Abstract: A medical image registration method and apparatus are provided. The medical image registration apparatus generates a two-dimensional rigid image obtained by two-dimensionally projecting rigid tissue segmented from a three-dimensional medical image, generates a two-dimensional soft image obtained by two-dimensionally projecting soft tissue segmented from the three-dimensional medical image, registers a two-dimensional medical image with the two-dimensional rigid image, and registers the two-dimensional medical image with the two-dimensional soft image.