CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural...
CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network
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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
The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis of computed tomography images. A polymorphic training approach is proposed, in which both specifically labeled left and right lungs of humans with COPD, and nonspecifica...
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Full title
CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network
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TN_cdi_doaj_primary_oai_doaj_org_article_67123f2fad0c4e4f98f42b8ab456559b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_67123f2fad0c4e4f98f42b8ab456559b
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-80936-4
