In this study, we introduced a new deep learning method to take advantage of both radiologists’ expertise and multi-parametric MR Fingerprinting data to improve annotation accuracy in MRI dataset. A U-Net based convolutional neural network was adopted and each dataset was evaluated multiple times using different combinations of training dataset. Our initial results obtained from a brain tumor dataset demonstrates that the developed method could effectively identify mislabeled tissues and improve annotation accuracy.
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