Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here