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  Indian J Med Microbiol
 

Figure 2: (a) The average ROC curves for correctly identifying DCIS and DCIS grades in the test set of FOVs using the introduced approach and the comparative strategies (Morphological only features and morphological + graph-based features). To generate an adequate precision of the ROC curves, 100 repeats of 10-fold cross-validation were run. (b) Performance metrics of the tested approaches. First row presents the results of an approach that classifies FoVs based just on morphological features. Second row shows the results of a strategy that uses the morphological and graph-based features reported in.[7] The third row represents the results of the introduced approach that uses local, regional, and cellularity features. Blue-shaded cells correspond to the first, and yellow-shaded cells correspond to the second

Figure 2: (a) The average ROC curves for correctly identifying DCIS and DCIS grades in the test set of FOVs using the introduced approach and the comparative strategies (Morphological only features and morphological + graph-based features). To generate an adequate precision of the ROC curves, 100 repeats of 10-fold cross-validation were run. (b) Performance metrics of the tested approaches. First row presents the results of an approach that classifies FoVs based just on morphological features. Second row shows the results of a strategy that uses the morphological and graph-based features reported in.<sup>[7]</sup> The third row represents the results of the introduced approach that uses local, regional, and cellularity features. Blue-shaded cells correspond to the first, and yellow-shaded cells correspond to the second