Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A compressive sensing approach for enhancing breast cancer detection
  using a hybrid DBT / NRI configuration   This work presents a novel breast cancer imaging approach that uses
compressive sensing in a hybrid Digital Breast Tomosynthesis (DBT) / Nearfield
Radar Imaging (NRI) system configuration. The non-homogeneous tissue
distribution of the breast, described in terms of dielectric constant and
conductivity, is extracted from the DBT image, and it is used by a full-wave
Finite Difference in the Frequency Domain (FDFD) method to build a linearized
model of the non-linear NRI imaging problem. The inversion of the linear
problem is solved using compressive sensing imaging techniques, which lead to a
reduction on the required number of sensing antennas and operational bandwidth
without loss of performance.

9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys