Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pyramid Network with Online Hard Example Mining for Accurate Left Atrium
  Segmentation   Accurately segmenting left atrium in MR volume can benefit the ablation
procedure of atrial fibrillation. Traditional automated solutions often fail in
relieving experts from the labor-intensive manual labeling. In this paper, we
propose a deep neural network based solution for automated left atrium
segmentation in gadolinium-enhanced MR volumes with promising performance. We
firstly argue that, for this volumetric segmentation task, networks in 2D
fashion can present great superiorities in time efficiency and segmentation
accuracy than networks with 3D fashion. Considering the highly varying shape of
atrium and the branchy structure of associated pulmonary veins, we propose to
adopt a pyramid module to collect semantic cues in feature maps from multiple
scales for fine-grained segmentation. Also, to promote our network in
classifying the hard examples, we propose an Online Hard Negative Example
Mining strategy to identify voxels in slices with low classification
certainties and penalize the wrong predictions on them. Finally, we devise a
competitive training scheme to further boost the generalization ability of
networks. Extensively verified on 20 testing volumes, our proposed framework
achieves an average Dice of 92.83% in segmenting the left atria and pulmonary
veins.

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The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
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The categories of this paper are: q-fin
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The categories of this paper are: solv-int
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The categories of this paper are: q-alg
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The categories of this paper are: supr-con
16
The categories of this paper are: stat
9
The categories of this paper are: nlin