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Fig. 13 | Diagnostic Pathology

Fig. 13

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

Fig. 13

Qualitative results for both U-Net and R2U-Net models for nuclei segmentation, the first column shows the input samples, the second column shows the corresponding ground truth (GT) masks, the third column shows the outputs from U-Net and the fourth column shows the outputs of R2U-Net model. The orange circles show the false detection by the U-Net model

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