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  Indian J Med Microbiol
 

Figure 7: Box plots for the AUC across 50 runs from all 3 algorithms (Φms,Φt,, Φb) . The red line identifies the mean, the blue box encompasses 25th percentile, with the black whiskers extending to the 75th percentile. Red dots are indicative of outliers. We can see that the MS provides a higher mean AUC compared with the texture features, resulting in a significantly a smaller variance. The homogeneity constraint imposed by ball-scale does not appear to provide discrimination between TILs and non-TILs

Figure 7: Box plots for the AUC across 50 runs from all 3 algorithms (<i>Φ<sub>ms</sub></i>,<i>Φ<sub></i><i>t,</i></sub>, <i>Φ</i><sub><i>b</sub></i>) . The red line identifies the mean, the blue box encompasses 25th percentile, with the black whiskers extending to the 75th percentile. Red dots are indicative of outliers. We can see that the MS provides a higher mean AUC compared with the texture features, resulting in a significantly a smaller variance. The homogeneity constraint imposed by ball-scale does not appear to provide discrimination between TILs and non-TILs