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SUBMANIFOLD SPARSE CONVOLUTIONAL NETWORKS

Authors
Retinskiy, Dmitry

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).

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