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. 2023 Mar 21;14:100306. doi: 10.1016/j.jpi.2023.100306

Fig. 3.

Fig. 3

HistoROI quantitative results: (a) Box plot of AUCs on the test split of the CAMELYON16 dataset shows improvement in performance when WSIs are pre-processed with HistoROI. (b) Box plot of AUCs for the TCGA-LUNSC dataset. (c) Comparison of HistoROI with HistoQC15 for QC using TCGA-4Org dataset shows that HistoROI’s Dice score is better than HistoQC for 65 WSIs out of 93 WSIs. (d) HistoROI predicts 77% of patches correctly in the CRC-100k without being trained on this dataset.