公开(公告)号：US20220414954A1

公开(公告)日：2022-12-29

申请号：US17848689

申请日：2022-06-24

Applicant: Korea Advanced Institute of Science and Technology

Inventor： JongChul Ye ,  Taesung Kwon

IPC: G06T11/00 ,  G06T5/00

Abstract: Disclosed are a method and apparatus for processing a low-dose X-ray computed tomography image based on efficient unsupervised learning by using an invertible neural network. The method of processing a low-dose X-ray computed tomography image based on unsupervised learning by using an invertible neural network performed by a computer device includes providing an invertible generator for restoring an image, and training the invertible generator to restore a low-dose computed tomography image to a normal computed tomography image.