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Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer
To improve existing survival analysis techniques whose performance is hinged on imaging features, we propose a deep learning method to build survival regression models by optimizing imaging features with deep convolutional neural networks (CNNs) in a proportional hazards model.
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