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A lightweight residual network for unsupervised deformable image registration

A lightweight residual network for unsupervised deformable image registration

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3068911179

A lightweight residual network for unsupervised deformable image registration

About this item

Full title

A lightweight residual network for unsupervised deformable image registration

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-06

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Accurate volumetric image registration is highly relevant for clinical routines and computer-aided medical diagnosis. Recently, researchers have begun to use transformers in learning-based methods for medical image registration, and have achieved remarkable success. Due to the strong global modeling capability, Transformers are considered a better...

Alternative Titles

Full title

A lightweight residual network for unsupervised deformable image registration

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3068911179

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3068911179

Other Identifiers

E-ISSN

2331-8422

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