Semantically Guided Large Deformation Estimation with Deep Networks
Deformable image registration is still a challenge when the considered images have strong variations in appearance and large initial misalignment. A huge performance gap currently remains for fast-moving regions in videos or strong deformations of natural objects. We present a new semantically guide...
Main Authors: | In Young Ha, Matthias Wilms, Mattias Heinrich |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/5/1392 |
Similar Items
-
macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND
by: Zhiyong Zhou, et al.
Published: (2023-09-01) -
Canonical Plane Segmentation Without Annotating Pixel-Level Object Regions for Image Registration
by: Shunsuke Yoneda, et al.
Published: (2024-01-01) -
Multiscale Approach for Bounded Deformation Image Registration
by: Yunfeng Du, et al.
Published: (2022-11-01) -
Intra-Patient Lung CT Registration through Large Deformation Decomposition and Attention-Guided Refinement
by: Jing Zou, et al.
Published: (2023-05-01) -
Deep-learning-based deformable image registration of head CT and MRI scans
by: Alexander Ratke, et al.
Published: (2023-12-01)