4 CNNs, 1 impressive performance
To separate strengths from weaknesses, they investigated the technology’s adeptness along two lines—the adequacy of the visualization and the accuracy of any positive findings.
“Adequate” FAST images were those that offered diagnostic-quality looks at the liver and kidney or the spleen and kidney.
Successful “positive” results correctly detected abnormal fluids associated with blunt force trauma to the abdomen.
Using more than 6,600 images from 109 cases, the researchers put four separate convolutional neural networks through their paces for the…
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