The speed of data collection in many kinds of imaging technologies, including MRI, depends on the number of samples taken by the machine. When the number of collected samples is small, deep neural networks can be used to remove the resulting noise and visual artifacts.
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Tech News 1: How deep learning algorithms create accurate images without a complete dataset
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