Abstract #1597

Detection of Prostate Cancer from Multi-parametric Regional MRI Features

Nelly Tan¹, Nazanin Asvadi¹, Amin Moshkar², Steven Raman², and Fabien Scalzo³

¹Radiology, UCLA, Los Angeles, CA, United States, ²UCLA, Los Angeles, CA, United States, ³Neurology, UCLA, Los Angeles, CA, United States

Our preliminary results suggest that using a trained machine learning algorithm (spectral regression model) to analyze multiparametric is highly accurate for automatically localizing prostate cancer.

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