Authors
Retinskiy, Dmitry
Download PDF
Issue Date
2019
Publisher
University of Minnesota Libraries Publishing
Type
Article
Abstract
We present method for effective kidney and kidney’s tumor segmentation based on the 3-dimensional model reconstructed from the computed tomography (CT) input images. Analysis of the 3D model is done using submanifold sparse convolutional network (SSCN).
Identifiers
doi: 10.24926/548719.085