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RESULTS When 40 radiomics features were used in the random forest classification, in-house software achieved superior sensitivity (1.0 and accuracy (0.992) compared to the commercially available research prototype (sensitivity = 0.950, accuracy = 0.968). When the number of features was reduced to five features, diagnostic performance of the in-house software decreased to sensitivity (0.95, specificity (0.923), and accuracy (0.936). Diagnostic performance of the commercially available research prototype was unchanged. CONCLUSION Commerc
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