SAC-Net: Learning with weak and noisy labels in histopathology image segmentation
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Deep convolutional neural networks have been highly effective in segmentation tasks. However, segmentation becomes more difficult when training images include many complex instances to segment, such as the task of nuclei segmentation in histopathology images. ... ...