A lightweight residual network for unsupervised deformable image registration
A lightweight residual network for unsupervised deformable image registration
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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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...
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A lightweight residual network for unsupervised deformable image registration
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TN_cdi_proquest_journals_3068911179
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3068911179
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2331-8422