Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A dataset for Computer-Aided Detection of Pulmonary Embolism in CTA
  images   Todays, researchers in the field of Pulmonary Embolism (PE) analysis need to
use a publicly available dataset to assess and compare their methods. Different
systems have been designed for the detection of pulmonary embolism (PE), but
none of them have used any public datasets. All papers have used their own
private dataset. In order to fill this gap, we have collected 5160 slices of
computed tomography angiography (CTA) images acquired from 20 patients, and
after labeling the image by experts in this field, we provided a reliable
dataset which is now publicly available. In some situation, PE detection can be
difficult, for example when it occurs in the peripheral branches or when
patients have pulmonary diseases (such as parenchymal disease). Therefore, the
efficiency of CAD systems highly depends on the dataset. In the given dataset,
66% of PE are located in peripheral branches, and different pulmonary diseases
are also included.

24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn