Abstract:Computed tomography (CT) is the current gold standard diagnostic imaging exam for urolithiasis (1). However, making a CT report is a time-consuming process and requires a specialist. Therefore, an automated model of kidney stones detection would help saving health resources.The authors of "Deep learning model-assisted detection of kidney stones on computed tomography" showed that a convolution-based algorithm, xResNet50, detected kidney stones with accuracy up to 85.0% for 0-1 cm stones, 89.0% for 1-2 cm stone… Show more
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