Enhancing unsupervised learning in medical image registration through scale-aware context aggregation

Enhancing unsupervised learning in medical image registration through scale-aware context aggregation

Summary: Deformable image registration (DIR) is essential for medical image analysis, facilitating the establishment of dense correspondences between images to analyze complex deformations. Traditional registration algorithms often require significant computational resources due to iterative optimiz...

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Bibliographic Details
Main Authors: Yuchen Liu, Ling Wang, Xiaolin Ning, Yang Gao, Defeng Wang
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:iScience
Subjects:
Medical imaging
Clinical neuroscience
Bioinformatics
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224029614
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