Data-driven identification of diagnostically useful extrastriatal signal in dopamine transporter SPE...
Data-driven identification of diagnostically useful extrastriatal signal in dopamine transporter SPECT using explainable AI
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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 study used explainable artificial intelligence for data-driven identification of extrastriatal brain regions that can contribute to the interpretation of dopamine transporter SPECT with
123
I-FP-CIT in parkinsonian syndromes. A total of 1306
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I-FP-CIT-SPECT were included retrospectively. Binary classification as ‘reduced’ or ‘no...
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Full title
Data-driven identification of diagnostically useful extrastriatal signal in dopamine transporter SPECT using explainable AI
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TN_cdi_doaj_primary_oai_doaj_org_article_413a6f3cef2541759c9ff4545fdd65d7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_413a6f3cef2541759c9ff4545fdd65d7
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-02385-x
