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Fig. 6 | BMC Medical Imaging

Fig. 6

From: A CT-based nomogram established for differentiating gastrointestinal heterotopic pancreas from gastrointestinal stromal tumor: compared with a machine-learning model

Fig. 6

The performance of nomogram and RandomForest model was assessed and compared by receiver operating characteristic curves (A) and calibration curves (B). Decision curves (C) quantified the probabilities of net benefits at a threshold probability from 0.0 to 1.0. The farther the decision curve is from the two extreme curves, the higher the clinical decision net benefit of the model. The result demonstrated a higher net benefit of the nomogram

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BMC Medical Imaging

ISSN: 1471-2342

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