Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification of Quantitative Light-Induced Fluorescence Images Using
  Convolutional Neural Network   Images are an important data source for diagnosis and treatment of oral
diseases. The manual classification of images may lead to misdiagnosis or
mistreatment due to subjective errors. In this paper an image classification
model based on Convolutional Neural Network is applied to Quantitative
Light-induced Fluorescence images. The deep neural network outperforms other
state of the art shallow classification models in predicting labels derived
from three different dental plaque assessment scores. The model directly
benefits from multi-channel representation of the images resulting in improved
performance when, besides the Red colour channel, additional Green and Blue
colour channels are used.

20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga