Fig. 3 | Scientific Reports

Fig. 3

From: Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers

Fig. 3

Performance and representative results across different models on the inflammation dataset. The highest performing model is CDAM with a mean AUROC of 0.866 ± 0.029. The remaining performances are: 0.589 ± 0.035 (CLAM), 0.842 ± 0.036 (DAM), 0.838 ± 0.037 (DGAM), and 0.859 ± 0.027 (CDGAM). CDGAM yields the heatmaps with highest segmentation and contrast quality. Note that CLAM highlights many tiles from glass whereas our CDGAM highlights liver tissues which contributes to the diagnoses.

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