Fig. 3: Receiver operating characteristic (ROC) curves comparison between different models for predicting low metastatic burden of axillary disease (N+(1–2)) and heavy metastatic burden of axillary disease (N+(≥3)). | Nature Communications

Fig. 3: Receiver operating characteristic (ROC) curves comparison between different models for predicting low metastatic burden of axillary disease (N+(1–2)) and heavy metastatic burden of axillary disease (N+(≥3)).

From: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

Fig. 3: Receiver operating characteristic (ROC) curves comparison between different models for predicting low metastatic burden of axillary disease (N+(1–2)) and heavy metastatic burden of axillary disease (N+(≥3)).The alternative text for this image may have been generated using AI.

DLR deep learning radiomics. Numbers in parentheses are areas under the receiver operating characteristic curves. Source data are provided as a Source Data file.

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