Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac
  CT Angiography   Detection of coronary artery stenosis in coronary CT angiography (CCTA)
requires highly personalized surface meshes enclosing the coronary lumen. In
this work, we propose to use graph convolutional networks (GCNs) to predict the
spatial location of vertices in a tubular surface mesh that segments the
coronary artery lumen. Predictions for individual vertex locations are based on
local image features as well as on features of neighboring vertices in the mesh
graph. The method was trained and evaluated using the publicly available
Coronary Artery Stenoses Detection and Quantification Evaluation Framework.
Surface meshes enclosing the full coronary artery tree were automatically
extracted. A quantitative evaluation on 78 coronary artery segments showed that
these meshes corresponded closely to reference annotations, with a Dice
similarity coefficient of 0.75/0.73, a mean surface distance of 0.25/0.28 mm,
and a Hausdorff distance of 1.53/1.86 mm in healthy/diseased vessel segments.
The results showed that inclusion of mesh information in a GCN improves
segmentation overlap and accuracy over a baseline model without interaction on
the mesh. The results indicate that GCNs allow efficient extraction of coronary
artery surface meshes and that the use of GCNs leads to regular and more
accurate meshes.

22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th