Application of synthetic data in the training of artificial intelligence for automated quality assurance in magnetic resonance imaging.
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DOI: 10.1002/mp.16361
Abstract: BACKGROUND Magnetic resonance imaging scanner faults can be missed during routine quality assurance (QA) if they are subtle, intermittent, or the test being performed is insensitive to the type of fault. Coil element malfunction is… read more here.
Keywords: network; element malfunction; malfunction; coil element ... See more keywords