Multi-modal segmentation with missing MR sequences using pre-trained fusion networks

@article{Garderen2019MultimodalSW,
  title={Multi-modal segmentation with missing MR sequences using pre-trained fusion networks},
  author={Karin A. van Garderen and Marion Smits and Stefan Klein},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.11464}
}
Missing data is a common problem in machine learning and in retrospective imaging research it is often encountered in the form of missing imaging modalities. We propose to take into account missing modalities in the design and training of neural networks, to ensure that they are capable of providing the best possible prediction even when multiple images are not available. The proposed network combines three modifications to the standard 3D UNet architecture: a training scheme with dropout of… Expand
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