Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN   Magnetic induction tomography (MIT) is an efficient solution for long-term
brain disease monitoring, which focuses on reconstructing bio-impedance
distribution inside the human brain using non-intrusive electromagnetic fields.
However, high-quality brain image reconstruction remains challenging since
reconstructing images from the measured weak signals is a highly non-linear and
ill-conditioned problem. In this work, we propose a generative adversarial
network (GAN) enhanced MIT technique, named MITNet, based on a complex
convolutional neural network (CNN). The experimental results on the real-world
dataset validate the performance of our technique, which outperforms the
state-of-art method by 25.27%.

25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
3
The categories of this paper are: physics