129 citations · 135 across the 4 of their papers we have counts for
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eess.IV2020★ 129 cited
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation
Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta +1
Accurate segmentation of kidneys and kidney tumors is an essential step for radiomic analysis as well as developing advanced surgical planning techniques. In clinical analysis, the…
eess.IV2019★ 3 cited
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation
Wenshuai Zhao, Zengfeng Zeng
U-Net has achieved huge success in various medical image segmentation challenges. Kinds of new architectures with bells and whistles might succeed in certain dataset when employed…