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20192022
most citedR2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation

109 citations · 344 across the 6 of their papers we have counts for

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2 papers · 1 filter

eess.SP2022★ 47 cited

Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices

Owais Ali, Hazrat Ali, Syed Ayaz Ali Shah +1

Deep learning techniques, particularly convolutional neural networks, have shown great potential in computer vision and medical imaging applications. However, deep learning models…

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…