Effect of the output activation function on the probabilities and errors in medical image segmentation
Lars Nieradzik,
Gerik Scheuermann,
Dorothee Saur
et al.
Abstract:The sigmoid activation is the standard output activation function in binary classification and segmentation with neural networks. Still, there exist a variety of other potential output activation functions, which may lead to improved results in medical image segmentation. In this work, we consider how the asymptotic behavior of different output activation and loss functions affects the prediction probabilities and the corresponding segmentation errors. For cross entropy, we show that a faster rate of change of… Show more
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