Table 8

Performance Comparison on the MoNuSeg dataset with the AJI metric.

MethodTest 1Test 2Test 1 & 2 (comb.)MoNuSeg Test Set
    Unsupervised
Cell Profiler [8, 110]0.15490.0809--
Fiji [89, 110]0.25080.3030--
DDMRL [42]---0.4860
Scale-Supervised Attention Net [85]---0.5354
CyC-PDAM [55]0.54320.58480.5610-
CBM [60]-0.5808-0.6142
HUNIS [61]-0.6548-0.6387
    Supervised
CNN2 [48, 104]0.35580.3354--
U-Net (ResNet-50) [31, 49]   0.4882
U-Net (VGG-16) [49, 92]---0.4925
U-Net (DenseNet-201) [38, 49]---0.5083
CNN3 [48]0.51540.49890.5083 [15]-
Mask R-CNN [30]0.59780.55310.5786 [15]0.5282 [49]
DCAN [13]0.60820.5449[110]-0.557
PA-Net [56, 110]0.60110.5608--
BES-Net [67, 110]0.59060.5823--
HoVerNet [24]--0.618-
CIA-Net [110]0.61290.63060.6205 [15]-
REU-Net [72]--0.636-
BRP-Net [15]0.61960.63840.6422-
GCP-Net [105]--0.651-
Enhanced lightweight U-Net [28]---0.6895
SSL [103]---0.7063
Region Based CNN [52]---0.73
DenseResU-Net [43]0.79980.76840.7861-
CBA-Net [51]---0.7985
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