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Abstract #3978

Deep Learning Feature Classification for Predicting Treatment Decision: A Preliminary Study on Prostate Cancer Patients

Hansang Lee1 and Junmo Kim1

1School of Electrical Engineering, KAIST, Daejeon, Korea, Republic of

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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