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Aim
The present study aimed to analyze the use of machine learning in ultrasound (US)‐based fecal retention assessment.
Methods
The accuracy of deep learning techniques and conventional US methods for the evaluation of fecal properties was compared. The presence or absence of rectal feces was analyzed in 42 patients. Eleven patients without rectal fecal retention on US images were excluded from...
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