Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Denoising of 3-D Magnetic Resonance Images Using a Residual
  Encoder-Decoder Wasserstein Generative Adversarial Network   Structure-preserved denoising of 3D magnetic resonance imaging (MRI) images
is a critical step in medical image analysis. Over the past few years, many
algorithms with impressive performances have been proposed. In this paper,
inspired by the idea of deep learning, we introduce an MRI denoising method
based on the residual encoder-decoder Wasserstein generative adversarial
network (RED-WGAN). Specifically, to explore the structure similarity between
neighboring slices, a 3D configuration is utilized as the basic processing
unit. Residual autoencoders combined with deconvolution operations are
introduced into the generator network. Furthermore, to alleviate the
oversmoothing shortcoming of the traditional mean squared error (MSE) loss
function, the perceptual similarity, which is implemented by calculating the
distances in the feature space extracted by a pretrained VGG-19 network, is
incorporated with the MSE and adversarial losses to form the new loss function.
Extensive experiments are implemented to assess the performance of the proposed
method. The experimental results show that the proposed RED-WGAN achieves
performance superior to several state-of-the-art methods in both simulated and
real clinical data. In particular, our method demonstrates powerful abilities
in both noise suppression and structure preservation.

27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn