Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in
  Ultrasound Images   Ultrasound-guided regional anesthesia (UGRA) can replace general anesthesia
(GA), improving pain control and recovery time. This method can be applied on
the brachial plexus (BP) after clavicular surgeries. However, identification of
the BP from ultrasound (US) images is difficult, even for trained
professionals. To address this problem, convolutional neural networks (CNNs)
and more advanced deep neural networks (DNNs) can be used for identification
and segmentation of the BP nerve region. In this paper, we propose a hybrid
model consisting of a classification model followed by a segmentation model to
segment BP nerve regions in ultrasound images. A CNN model is employed as a
classifier to precisely select the images with the BP region. Then, a U-net or
M-net model is used for the segmentation. Our experimental results indicate
that the proposed hybrid model significantly improves the segmentation
performance over a single segmentation model.

14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom