Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Instant Image Denoising Plugin for ImageJ using Convolutional Neural
  Networks   We present a new convolutional neural network (CNN) based ImageJ plugin for
fluorescence microscopy image denoising with an average improvement of 7.5 dB
in peak signal-to-noise ratio (PSNR) and denoising instantly within 80 msec.

21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
1
The categories of this paper are: cs