Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hepatic vessel segmentation using a reduced filter 3D U-Net in
  ultrasound imaging   Accurate hepatic vessel segmentation on ultrasound (US) images can be an
important tool in the planning and execution of surgery, however proves to be a
challenging task due to noise and speckle. Our method comprises a reduced
filter 3D U-Net implementation to automatically detect hepatic vasculature in
3D US volumes. A comparison is made between volumes acquired with a 3D probe
and stacked 2D US images based on electromagnetic tracking. Experiments are
conducted on 67 scans, where 45 are used in training, 12 in validation and 10
in testing. This network architecture yields Dice scores of 0.740 and 0.781 for
3D and stacked 2D volumes respectively, comparing promising to literature and
inter-observer performance (Dice = 0.879).

2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph