Abstract #3880

Deep Learning of MR Imaging Patterns in Prostate Cancer

Nelly Tan¹, Noah Stier¹, Steven Raman¹, and Fabien Scalzo¹

¹UCLA, Los Angeles, CA, United States

This demonstrates the feasibility of using Deep Learning to characterize prostate cancer lesions in an automatic fashion. The translation and development of this method into a decision support tool may provide more objective criteria for clinicians during diagnosis.

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