A machine learning approach to predict in vivo skin growth
A machine learning approach to predict in vivo skin growth
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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
Since their invention, tissue expanders, which are designed to trigger additional skin growth, have revolutionised many reconstructive surgeries. Currently, however, the sole quantitative method to assess skin growth requires skin excision. Thus, in the context of patient outcomes, a machine learning method which uses non-invasive measurements to p...
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Full title
A machine learning approach to predict in vivo skin growth
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TN_cdi_doaj_primary_oai_doaj_org_article_b8e474bedaa4416b94c7b8b4e7a60533
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b8e474bedaa4416b94c7b8b4e7a60533
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-67056-z
