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An ROC curve generated by ACCT following the validation stage on Iba-1 microglia images. It depicts the false positive, true positive, recall, and precision rates of classifier 10 at different confidence thresholds on the Iba-1 stained microglia images. Objects were filtered to a minimum size of 50 pixels and a maximum size of 1000 pixels. The watershed algorithm was not applied to the Iba-1 dataset, due to consistent cell separation in the sample tissues.
