Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis...
Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (MRI) in the risk diagnosis and prognosis of endometrial cancer (EC). Based on the deep learning convolutional neural network (CNN) architecture residual network with 101 layers (ResNet-101), spatial attention and channel attention modules were introdu...
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Full title
Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer
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TN_cdi_doaj_primary_oai_doaj_org_article_ff5773da82c744a5a1a326b9384000a9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ff5773da82c744a5a1a326b9384000a9
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-78081-3
