Comparative Performance of Deep Learning and Radiologists for the Diagnosis and Localization of Clin...
Comparative Performance of Deep Learning and Radiologists for the Diagnosis and Localization of Clinically Significant Prostate Cancer at MRI: A Systematic Review
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Background: Deep learning (DL)-based models have demonstrated an ability to automatically diagnose clinically significant prostate cancer (PCa) on MRI scans and are regularly reported to approach expert performance. The aim of this work was to systematically review the literature comparing deep learning (DL) systems to radiologists in order to eval...
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Comparative Performance of Deep Learning and Radiologists for the Diagnosis and Localization of Clinically Significant Prostate Cancer at MRI: A Systematic Review
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TN_cdi_doaj_primary_oai_doaj_org_article_bf24054bb50045ef8bab2ca7a9be7187
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bf24054bb50045ef8bab2ca7a9be7187
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ISSN
2075-1729
E-ISSN
2075-1729
DOI
10.3390/life12101490
