Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Semi-automated Virtual Unfolded View Generation Method of Stomach from
  CT Volumes   CT image-based diagnosis of the stomach is developed as a new way of
diagnostic method. A virtual unfolded (VU) view is suitable for displaying its
wall. In this paper, we propose a semi-automated method for generating VU views
of the stomach. Our method requires minimum manual operations. The
determination of the unfolding forces and the termination of the unfolding
process are automated. The unfolded shape of the stomach is estimated based on
its radius. The unfolding forces are determined so that the stomach wall is
deformed to the expected shape. The iterative deformation process is terminated
if the difference of the shapes between the deformed shape and expected shape
is small. Our experiments using 67 CT volumes showed that our proposed method
can generate good VU views for 76.1% cases.

22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph