Fig. 2 | Scientific Reports

Fig. 2

From: Deep learning-based ordinal classification overcomes subjective assessment limitations in intraoral free flap monitoring

Fig. 2

ROC curves for model comparison. Model discriminative ability can be validated through the area under the curve (AUC) measurements. (A) ROC curves for the proposed model. AUC values for each class: Normal: 0.980, Suspicious: 0.975, Compromised: 0.993 (B) ROC curves for the cross-entropy loss only model. AUC values for each class: Normal = 0.848, Suspicious = 0.827, Compromised = 0.985.

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