Figure 2.

NFT burden measure derived using the WSL algorithm WildCat compared to manual counting of NFTs and semi-quantitative ordinal ratings. (A) Regression between the WildCat burden measure and manual NFT count in 48 boxes from specimens left out from WildCat training is plotted in the top left panel. For three boxes, including two outliers, histology (with counted NFTs outlined in purple) and WildCat-derived burden maps are shown. (B) Plot of the average WildCat burden measure across five NFT severity categories into which the 48 boxes were assigned by an expert (D.J.I.) based on visual rating. Mann-Whitney AUC [U / (n₁n₂)] is shown between adjacent categories (*P < 0.05, **P < 0.01. ***P < 0.001, uncorrected).