DEFINING PRESET PARAMETER VALUES FOR AN ULTRASOUND IMAGING SYSTEM
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United States of America
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Nov 7, 2024
app pub date -
Sep 6, 2022
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Sep 6, 2022
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Abstract
A mechanism for defining a set of preset parameter values for an ultrasound imaging system. Information about local machine-learning models, generated by a plurality of ultrasound imaging systems and updated responsive to operator feedback, is provided to an external server. The external server generates a global machine-learning model based on this information, which is then used to update the local machine-learning model on target ultrasound imaging systems.
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