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. 2020 Nov 7;11:37. doi: 10.4103/jpi.jpi_49_20

Table 1.

The sensitivity and “modified” specificity for detection of glomeruli and the average size of the regions of interest identified for the best convolutional neural net model

Sensitivity for detection of annotated glomeruli (TP/TP + FN) “Modified” specificity for detection of annotated glomeruli (1 − FP/[TP + FP]) Average ROI area (as a measure of the total slide area), %
Same-batch 6 stain sets, 24 WSIs 92% (192/192+16) 89% (1−24/[192+24]) 0.8
Different-batch 7 stain sets, 28 WSIs 90% (236/236+25) 98% (1−4/[236+4]) 1.6

ROI: Region of interest, TP: Generated ROI containing an annotated glomerulus, FN: Annotated glomerulus without a generated ROI, FP: Generated ROI not containing an annotated glomerulus, TN: Cannot be calculated for this study because no ROI were generated for “not-annotated as glomerulus” areas, WSIs: Whole slide images