Why AI in the Medical Field Both Sucks and Rocks...


Deep learning is hot and happening, also in the medical field, however implementation is slow. Why is that? How do you approach such problems and how to make this a success? Where do you get the privacy-sensitive data from? Do pre-trained networks work? Can we make it scalable in the cloud? I will address these issues with a case study: segmentation of 4D heart MRI for heart function analysis.

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