Fig. 13From: Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)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 modelBack to article page