SUBMANIFOLD SPARSE CONVOLUTIONAL NETWORKS
Dmitry Retinskiy · 2019
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).