From: Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)
Methods
Average F1-score
AUC
CRImage [16]
0.488
0.684
Super-pixel descriptor [40]
0.687
0.853
SoftMax CNN + SSPP [39]
0.748
0.893
SoftMax CNN + NEP [39]
0.784
0.917
DenseNet [19]
0.794
0.9523
Proposed (DRCN)
0.811
0.9612
