Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cross-denoising Network against Corrupted Labels in Medical Image
  Segmentation with Domain Shift   Deep convolutional neural networks (DCNNs) have contributed many
breakthroughs in segmentation tasks, especially in the field of medical
imaging. However, \textit{domain shift} and \textit{corrupted annotations},
which are two common problems in medical imaging, dramatically degrade the
performance of DCNNs in practice. In this paper, we propose a novel robust
cross-denoising framework using two peer networks to address domain shift and
corrupted label problems with a peer-review strategy. Specifically, each
network performs as a mentor, mutually supervised to learn from reliable
samples selected by the peer network to combat with corrupted labels. In
addition, a noise-tolerant loss is proposed to encourage the network to capture
the key location and filter the discrepancy under various noise-contaminant
labels. To further reduce the accumulated error, we introduce a
class-imbalanced cross learning using most confident predictions at the
class-level. Experimental results on REFUGE and Drishti-GS datasets for optic
disc (OD) and optic cup (OC) segmentation demonstrate the superior performance
of our proposed approach to the state-of-the-art methods.

24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat