Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Shape Representation on Sparse Point Clouds for Volumetric
  Image Segmentation   Volumetric image segmentation with convolutional neural networks (CNNs)
encounters several challenges, which are specific to medical images. Among
these challenges are large volumes of interest, high class imbalances, and
difficulties in learning shape representations. To tackle these challenges, we
propose to improve over traditional CNN-based volumetric image segmentation
through point-wise classification of point clouds. The sparsity of point clouds
allows processing of entire image volumes, balancing highly imbalanced
segmentation problems, and explicitly learning an anatomical shape. We build
upon PointCNN, a neural network proposed to process point clouds, and propose
here to jointly encode shape and volumetric information within the point cloud
in a compact and computationally effective manner. We demonstrate how this
approach can then be used to refine CNN-based segmentation, which yields
significantly improved results in our experiments on the difficult task of
peripheral nerve segmentation from magnetic resonance neurography images. By
synthetic experiments, we further show the capability of our approach in
learning an explicit anatomical shape representation.

2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
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The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
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The categories of this paper are: adap-org
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The categories of this paper are: mtrl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: q-alg