Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Attentive Features for Prostate Segmentation in 3D Transrectal
  Ultrasound   Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of
essential importance for image-guided prostate interventions and treatment
planning. However, developing such automatic solutions remains very challenging
due to the missing/ambiguous boundary and inhomogeneous intensity distribution
of the prostate in TRUS, as well as the large variability in prostate shapes.
This paper develops a novel 3D deep neural network equipped with attention
modules for better prostate segmentation in TRUS by fully exploiting the
complementary information encoded in different layers of the convolutional
neural network (CNN). Our attention module utilizes the attention mechanism to
selectively leverage the multilevel features integrated from different layers
to refine the features at each individual layer, suppressing the non-prostate
noise at shallow layers of the CNN and increasing more prostate details into
features at deep layers. Experimental results on challenging 3D TRUS volumes
show that our method attains satisfactory segmentation performance. The
proposed attention mechanism is a general strategy to aggregate multi-level
deep features and has the potential to be used for other medical image
segmentation tasks. The code is publicly available at
https://github.com/wulalago/DAF3D.

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The categories of this paper are: chem-ph
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
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The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: stat
4
The categories of this paper are: cond-mat
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The categories of this paper are: dg-ga
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-th