Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI
Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Non-invasive prostate cancer detection from MRI has the potential to revolutionize patient care by providing early detection of clinically-significant disease (ISUP grade group >= 2), but has thus far shown limited positive predictive value. To address this, we present an MRI-based deep learning method for predicting clinically significant prostate...
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Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI
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TN_cdi_proquest_journals_2754252811
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2754252811
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2331-8422
