Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN

To apply deep convolution neural network to the segmentation task in myocardial arterial spin labeled perfusion imaging and to develop methods that measure uncertainty and that adapt the convolution neural network model to a specific false‐positive versus false‐negative tradeoff.

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