Learning Cross-Modality Representations from Multi-Modal Images.

Machine learning algorithms can have difficulties adapting to data from different sources, for example from different imaging modalities. We present and analyze three techniques for unsupervised cross-modality feature learning, using a shared auto-encoder-like convolutional network that learns a common representation from multi-modal data. We investigate a form of feature normalization, a learning...