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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