Figure 1 | Scientific Reports

Figure 1

From: A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks

Figure 1

Network architecture of GB U-Net, a gradient boosting network. The first stage of GB U-Net concatenated features maps from three U-Net like DCNN (VGG-19, DenseNet-121, and ResNet-101 encoders), with the colour normalized H&E image. The second stage of GB U-Net passed the concatenated image through a final U-Net. The original H&E images were curated by the TCGA. Ground truth annotations were released by Kumar et al.16, and additional annotations were released during the MoNuSeg challenge.

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