Nuclei Segmentation with Recurrent Residual Convolutional Neural Networks based U-Net (R2U-Net)

Bio-medical image segmentation is one of the promising sectors where nuclei segmentation from high-resolution histopathological images enables extraction of very high-quality features for nuclear morphometrics and other analysis metrics in the field of digital pathology. The traditional methods incl... View More