most citedR2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation

109 citations · 109 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2022★ 109 cited

R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation

Mehreen Mubashar, Hazrat Ali, Christer Gronlund +1

U-Net is a widely adopted neural network in the domain of medical image segmentation. Despite its quick embracement by the medical imaging community, its performance suffers on com…