Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer

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Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer

Chaddad, Ahmad and Kucharczyk, Michael J. and Desrosiers, Christian and Okuwobi, Idowu Paul and Katib, Yousef and Zhang, Mingli and Rathore, Saima and Sargos, Paul and Niazi, Tamim

IEEE Access 2020

Abstract : Convolutional neural networks (CNNs) require large amounts of data for training, beyond what can be acquired for current radiomics models. We hypothesize that deep entropy features (DEFs) derived from existing CNNs can be applied to MRI images of prostate łdots

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