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eess.IV2022★ 21 cited
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network
Shuxin Wang, Shilei Cao, Zhizhong Chai +4
Fully convolutional neural networks have made promising progress in joint liver and liver tumor segmentation. Instead of following the debates over 2D versus 3D networks (for examp…
eess.IV2020★ 4 cited
Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation
Zicong Zhang, Kimerly Powell, Changchang Yin +4
White Matter Hyperintensities (WMH) are the most common manifestation of cerebral small vessel disease (cSVD) on the brain MRI. Accurate WMH segmentation algorithms are important t…