公开(公告)号：US20220020155A1

公开(公告)日：2022-01-20

申请号：US17376588

申请日：2021-07-15

Applicant: Korea Advanced Institute of Science and Technology

Inventor： JongChul Ye ,  Boah Kim

IPC: G06T7/10 ,  G06N3/08

Abstract: Disclosed is an image segmentation method including receiving an image to be segmented and segmenting the received image by using a neural network learned through a Mumford-Shah function-based loss function.

公开(公告)号：US20220005150A1

公开(公告)日：2022-01-06

申请号：US17365598

申请日：2021-07-01

Applicant: Korea Advanced Institute of Science and Technology

Inventor： JongChul Ye ,  Boah Kim

IPC: G06T3/00 ,  G06T7/33 ,  G06N3/08 ,  G06N3/04

Abstract: Disclosed are an unsupervised learning-based image registration method using a neural network with cycle consistency and an apparatus therefor. An image registration method includes receiving a first image and a second image for image registration, outputting a deformation field for the first image and the second image using an unsupervised learning-based neural network with cycle consistency for the deformation field, and generating a registration image for the first image and the second image based on a spatial deformation function using the output deformation field. The outputting of the deformation field includes outputting the deformation field for the first image for registering the first image to the second image may be output, when the first image is a moving image and the second image is a fixed image, and the generating of the registration image includes generating the registration image by applying the deformation field for the first image to the first image using the spatial deformation function.

公开(公告)号：US12175621B2

公开(公告)日：2024-12-24

申请号：US17365598

申请日：2021-07-01

Applicant: Korea Advanced Institute of Science and Technology

Inventor： JongChul Ye ,  Boah Kim

IPC: G06T3/14 ,  G06N3/045 ,  G06N3/088 ,  G06T7/33

Abstract: Disclosed are an unsupervised learning-based image registration method using a neural network with cycle consistency and an apparatus therefor. An image registration method includes receiving a first image and a second image for image registration, outputting a deformation field for the first image and the second image using an unsupervised learning-based neural network with cycle consistency for the deformation field, and generating a registration image for the first image and the second image based on a spatial deformation function using the output deformation field. The outputting of the deformation field includes outputting the deformation field for the first image for registering the first image to the second image may be output, when the first image is a moving image and the second image is a fixed image, and the generating of the registration image includes generating the registration image by applying the deformation field for the first image to the first image using the spatial deformation function.

公开(公告)号：US12159410B2

公开(公告)日：2024-12-03

申请号：US17376588

申请日：2021-07-15

Applicant: Korea Advanced Institute of Science and Technology

Inventor： JongChul Ye ,  Boah Kim

IPC: G06K9/00 ,  G06N3/08 ,  G06T7/10

Abstract: Disclosed is an image segmentation method including receiving an image to be segmented and segmenting the received image by using a neural network learned through a Mumford-Shah function-based loss function.