公开(公告)号：US20240095894A1

公开(公告)日：2024-03-21

申请号：US18223972

申请日：2023-07-19

Applicant: Medicalip Co., Ltd.

Inventor： Sang Joon Park ,  Jong Min Kim ,  Han Jae Chung ,  Seung Min Ham

IPC: G06T5/00 ,  G06T5/50

CPC classification number: G06T5/009 ,  G06T5/50 ,  G06T2207/10081 ,  G06T2207/20081

Abstract: Disclosed is a medical image conversion method and apparatus. The medical image conversion apparatus trains a first artificial intelligence model to output a second contrast-enhanced image, based on first learning data including a pair of a first contrast-enhanced image and a first non-contrast image, and trains a second artificial intelligence model to output a second non-contrast image, based on second learning data including a pair of the first non-contrast image of the first learning data and the second contrast-enhanced image. The disclosure was supported by the “AI Precision Medical Solution (Doctor Answer 2.0) Development” project hosted by Seoul National University Bundang Hospital (Project Serial No.: 1711151151, Project No.: S0252-21-1001).

公开(公告)号：US20240046438A1

公开(公告)日：2024-02-08

申请号：US18229119

申请日：2023-08-01

Applicant: Medicalip Co., Ltd.

Inventor： Jong Min Kim ,  Han Jae Chung ,  Seung Min Ham ,  Sang Joon Park

IPC: G06T5/00 ,  G06T5/50 ,  G06T11/00

CPC classification number: G06T5/008 ,  G06T5/50 ,  G06T11/008 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/10088 ,  G06T2207/20216

Abstract: A method and a device for converting a non-contrast image into a contrast image are disclosed. The image conversion device converts the non-contrast image into the contrast image by using a deep learning network trained with learning data including one or more contrast learning images and one or more non-contrast learning images. The disclosure was supported by the “Critical Care Patient Specialized Big Data Construction and AI-based CDSS Development” project hosted by Seoul National University Hospital (Task identification number: HI21C1074, Assignment number: HI21C1074050021).