Article

Integration of Clinical Identifications With Deep Transferrable Imaging Feature Representations Can Help Predict Prostate Cancer Aggressiveness and Outcome

2021-02-11

Abstract excerpt

<h4>Objective: </h4> To develope a generalizable machine learning platform, designated PI-Risk, which incorporates clinicians’ prior identifications with deep transferrable imaging feature representations into predictive models for PCa Gleason grade. Patients and Methods: A retrospective study included 1442 biopsy-naïve patients from two tertiary care medical centers between January 2014 and December 2019. We inve...

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Literature Corpus work: d8e21e05-6793-56a0-b66c-a51298081f83
DOI: 10.21203/rs.3.rs-180726/v1

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