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Published in 2022 at "Bju International"
DOI: 10.1111/bju.15767
Abstract: To assess the potential of automated machineālearning methods for recognizing urinary stones in endoscopy.
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Keywords:
stone recognition;
urinary stone;
evaluation understanding;
automated urinary ... See more keywords