2.5D U-Net with Dense/Residual Layers and Global Context Blocks for Kidney Tumor Segmentation

Authors
Qi, Lin
Liu, Shuangwei
Wei, Ying

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Issue Date
2019

Publisher
University of Minnesota Libraries Publishing

Type
Article

Abstract
To address the segmentation of kidney and kidney tumor segmentation on CT scans, we propose a new 2.5D convolutional neural network that can utilize global context and multi-stage features.

Identifiers
doi: 10.24926/548719.066