Authors
Wu, Songxiong
Bin, Huang
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Issue Date
2019
Publisher
University of Minnesota Libraries Publishing
Type
Article
Abstract
Abstract. Chronic kidney disease affects many people around the world. Computed tomography (CT) is a widely used imaging modality for kidney disease diagnosis and quantification. However, automatic pathological kidney segmentation is still a challenging task due to large variations in contrast phase, scanning range, pathology, and position in the abdomen, etc. In this work, we propose to combine different Window wide window position as a multi-channel input and Unet, for robust kidney or kidney tumors segmentation.
Identifiers
doi: 10.24926/548719.063