Tumor likelihood estimation on MRI prostate data by utilizing k-Space information

M. Rempe, F. Hörst, C. Seibold +7

We present a novel preprocessing and prediction pipeline for the classification of magnetic resonance imaging (MRI) that takes advantage of the information rich complex valued k-Sp…