Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised
  CNN-Based Methods   Lesion segmentation is a core task for quantitative analysis of MRI scans of
Multiple Sclerosis patients. The recent success of deep learning techniques in
a variety of medical image analysis applications has renewed community interest
in this challenging problem and led to a burst of activity for new algorithm
development. In this survey, we investigate the supervised CNN-based methods
for MS lesion segmentation. We decouple these reviewed works into their
algorithmic components and discuss each separately. For methods that provide
evaluations on public benchmark datasets, we report comparisons between their
results.

17
The categories of this paper are: q-fin
15
The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin