Multilevel network for large deformation image registration based on feature consistency and flow normalization

Our proposed FCNet enables multiscale registration from coarse to fine, surpassing existing SOTA registration methods and effectively handling long-range spatial relationships.

Authors

Institutions

Publication Details

Journal
Medical Physics
Published
2024-09-20
DOI
https://doi.org/10.1002/mp.17390
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multilevel network for large deformation image registration based on feature consistency and flow normalization

Xinyu Cheng, Xingyu Huang, Chen Ye, Jian Zhang et al.
Medical Physics
Medical Image Segmentation Techniques
article

Multilevel network for large deformation image registration based on feature consistency and flow normalization

Xinyu Cheng, Xingyu Huang, Chen Ye, Jian Zhang, Lihui Wang, Kun Tang
article en

Abstract

Our proposed FCNet enables multiscale registration from coarse to fine, surpassing existing SOTA registration methods and effectively handling long-range spatial relationships.

Medical PhysicsVol. 51(12)
Guizhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 85%
Medical Image Segmentation Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.