Skip to main content

Table 5 Performance comparison of several nuclei segmentation methods and our nuclei segmentation method evaluated on the breast cancer histopathology image dataset (BNS)

From: An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images

MethodsPrecisionRecallF1-ScoreADCAJI
PANGNET [18]0.8140.6550.676N/AN/A
FCN [18]0.8230.7520.763N/AN/A
DeconvNet [37]0.8640.7730.805N/AN/A
Ensemble [19]0.7410.9000.802N/AN/A
NB [22]0.9200.7840.8400.830N/A
NucSeg0.9070.9230.9130.8350.686
NucSeg-N0.9100.9100.9090.8380.688
NucSeg-P0.8930.8860.8870.8100.654
NucSeg-NP0.9120.8890.8990.8180.665