We investigated the novel problem of predicting treatment decision for cancer patients using imaging feature analysis. We implemented deep learning feature classification framework consisting of feature computation with deep convolutional neural network (CNN) model and k-nearest neighbor (kNN) feature classification. The preliminary study on TCIA prostate cancer T2 MRI database showed the promising results and the potential of future researches.
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