Fig. 2: ROC and AUC of DLP for detection of bigclasses in primary test and multihospital test data sets. | Nature Communications

Fig. 2: ROC and AUC of DLP for detection of bigclasses in primary test and multihospital test data sets.

From: Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks

Fig. 2

a ROC curves and AUC for detecting every bigclass in primary test were calculated and plotted. Different colors of ROC curves corresponding to different AUC of each disease and condition are listed. b ROC curves and AUC for detecting every bigclasses in multihospital test. Source data are provided as a Source Data file.

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