For CNN-based liver segmentation from DCE-MRI, providing all contrast phases as input channels outperforms using a single phase or merging separate phase features.
A., `` Liver Segmentation on CT and MR Using Laplacian Mesh Optimization ,'' IEEE Transactions on Biomedical Engineering 64 (9), 2110--2121 (2017)
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Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation
For CNN-based liver segmentation from DCE-MRI, providing all contrast phases as input channels outperforms using a single phase or merging separate phase features.