A 3D medical image segmentation network based on gated attention blocks and dual-scale cross-attenti...
A 3D medical image segmentation network based on gated attention blocks and dual-scale cross-attention mechanism
About this item
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Author / Creator
Jiang, Chunhui , Wang, Yi , Yuan, Qingni , Qu, Pengju and Li, Heng
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
In the field of multi-organ 3D medical image segmentation, Convolutional Neural Networks (CNNs) are limited to extracting local feature information, while Transformer-based architectures suffer from high computational complexity and inadequate extraction of spatial and channel layer information. Moreover, the large number and varying sizes of organ...
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Full title
A 3D medical image segmentation network based on gated attention blocks and dual-scale cross-attention mechanism
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TN_cdi_doaj_primary_oai_doaj_org_article_142f308d9a794cfda4397bbca2f2cc8f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_142f308d9a794cfda4397bbca2f2cc8f
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-90339-y
