Authors
Li, Yu
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Issue Date
2019
Publisher
University of Minnesota Libraries Publishing
Type
Article
Abstract
Fully automatic segmentation of kidney and its lesions is an important step to obtain accurate clinical diagnosis and computer aided decision support system. In this paper, a method of automatic segmentation of kidney and renal tumor in CT abdominal images using cascade 3D U-Net convolutional neural network (3D cU-Nets) is presented. We trained and cascaded two 3D U-Nets for the joint segmentation of kidney and renal tumor. In the first step, we trained a 3D U-Net to segment kidney as the ROI input for the second 3D u-net.The second 3D U-Net only segmented the lesion from the renal ROI predicted in step 1.
Identifiers
doi: 10.24926/548719.008