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Fig. 4 | World Journal of Surgical Oncology

Fig. 4

From: Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma

Fig. 4

Nomogram for predicting microvascular invasion (MVI) probabilities, receiver operating characteristics (ROC) curves, calibration of the nomogram and decision curve in the overall patients. A A nomogram integrated DL-MVI and serum AFP level. B Receiver operating characteristic analysis of the nomogram. C Calibration curves of the nomogram in the overall datasets; X-axis is predicted probability of MVI. Y-axis is actual MVI. The diagonal dashed line indicates the ideal prediction by a perfect model. D Decision curve for the nomogram predicting the MVI in the overall patients

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World Journal of Surgical Oncology

ISSN: 1477-7819

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