Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Two Eyes Are Better Than One: Exploiting Binocular Correlation for
  Diabetic Retinopathy Severity Grading   Diabetic retinopathy (DR) is one of the most common eye conditions among
diabetic patients. However, vision loss occurs primarily in the late stages of
DR, and the symptoms of visual impairment, ranging from mild to severe, can
vary greatly, adding to the burden of diagnosis and treatment in clinical
practice. Deep learning methods based on retinal images have achieved
remarkable success in automatic DR grading, but most of them neglect that the
presence of diabetes usually affects both eyes, and ophthalmologists usually
compare both eyes concurrently for DR diagnosis, leaving correlations between
left and right eyes unexploited. In this study, simulating the diagnostic
process, we propose a two-stream binocular network to capture the subtle
correlations between left and right eyes, in which, paired images of eyes are
fed into two identical subnetworks separately during training. We design a
contrastive grading loss to learn binocular correlation for five-class DR
detection, which maximizes inter-class dissimilarity while minimizing the
intra-class difference. Experimental results on the EyePACS dataset show the
superiority of the proposed binocular model, outperforming monocular methods by
a large margin.

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The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics