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：US20240354945A1

公开(公告)日：2024-10-24

申请号：US18640357

申请日：2024-04-19

Applicant: MEDICALIP CO., LTD.

Inventor： Sang Joon Park ,  Jong Min Kim ,  Joseph Nathanael Witanto

IPC: G06T7/00 ,  G06T7/12 ,  G06V10/60 ,  G16H30/40

CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06V10/60 ,  G16H30/40 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30061

Abstract: Provided are a medical image translation method and apparatus. The medical image translation apparatus receives a first medical image and translates the first medical image into a second medical image through an image translation model. The first medical image is a two-dimensional (2D) medical image, and the second medical image is a 2D medical image obtained by reconstructing a brightness value of each of pixels of the first medical image while maintaining a structure shown in the first medical image. The image translation model is a model implemented with an artificial neural network that reflects and outputs a feature of a brightness value of each of pixels of a reference image trained in a training process in a 2D medical image.

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.