Fig. 3 | Scientific Reports

Fig. 3

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

Fig. 3

The UMAP of each model. Test set data points are represented as dots, with blue indicating normal class, orange indicating suspicious class, and red indicating the compromised class. (A) The UMAP of our proposed model. Data points are clustered according to their ordinal relationship by class, and the distance between disparate classes (e.g., the healthy and the compromised class images) is appropriately represented. (B) The UMAP of the control model using only cross-entropy loss. The data points were not clustered in distinct stages; instead, they exhibited ambiguous mixing patterns.

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