Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A
  Survey   Osteoarthritis (OA) is one of the major health issues among the elderly
population. MRI is the most popular technology to observe and evaluate the
progress of OA course. However, the extreme labor cost of MRI analysis makes
the process inefficient and expensive. Also, due to human error and subjective
nature, the inter- and intra-observer variability is rather high.
Computer-aided knee MRI segmentation is currently an active research field
because it can alleviate doctors and radiologists from the time consuming and
tedious job, and improve the diagnosis performance which has immense potential
for both clinic and scientific research. In the past decades, researchers have
investigated automatic/semi-automatic knee MRI segmentation methods
extensively. However, to the best of our knowledge, there is no comprehensive
survey paper in this field yet. In this survey paper, we classify the existing
methods by their principles and discuss the current research status and point
out the future research trend in-depth.

3
The categories of this paper are: physics
18
The categories of this paper are: econ
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an