A two-step deep learning method for 3DCT-2DUS kidney registration during breathing
A two-step deep learning method for 3DCT-2DUS kidney registration during breathing
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Author / Creator
Chi, Yanling , Xu, Yuyu , Liu, Huiying , Wu, Xiaoxiang , Liu, Zhiqiang , Mao, Jiawei , Xu, Guibin and Huang, Weimin
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
This work proposed KidneyRegNet, a novel deep registration pipeline for 3D CT and 2D U/S kidney scans of free breathing, which comprises a feature network, and a 3D–2D CNN-based registration network. The feature network has handcrafted texture feature layers to reduce the semantic gap. The registration network is an encoder-decoder structure with l...
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Full title
A two-step deep learning method for 3DCT-2DUS kidney registration during breathing
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TN_cdi_doaj_primary_oai_doaj_org_article_a731d7e30cff44ce864b8864b9290882
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a731d7e30cff44ce864b8864b9290882
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-40133-5