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Table 3 Nuclei detection accuracy of the proposed model and comparison against existing methods

From: Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)

Methods

Precision

Recall

Mean F1-score

CRImage [16]

0.657

0.461

0.542

CNN [16]

0.783

0.804

0.793

SSAE [46]

0.617

0.644

0.630

LIPSyM [46]

0.725

0.517

0.604

SC-CNN [39] (M = 1)

0.758

0.827

0.791

SC-CNN [39] (M = 2)

0.781

0.823

0.802

Proposed (UD-Net)

0.822

0.842

0.828

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Diagnostic Pathology

ISSN: 1746-1596

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