Abstract
The issues of big data in medical imaging informatics have special characters which need to be deal with in healthcare service and research. These characters lead to many technical challenges in medical imaging informatics. The data set sizes and hiding states of medical imaging are major factors which make big data of medical imaging be quite different from other kind of big data. The possible and perspective solutions of big data issues in medical imaging informatics are discussed in this presentation, and also some of our research projects related to five V features of big data in medical imaging and informatics have been briefed.
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