Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Review on Automated Brain Tumor Detection and Segmentation from MRI of
  Brain   Tumor segmentation from magnetic resonance imaging (MRI) data is an important
but time consuming manual task performed by medical experts. Automating this
process is a challenging task because of the high diversity in the appearance
of tumor tissues among different patients and in many cases similarity with the
normal tissues. MRI is an advanced medical imaging technique providing rich
information about the human soft-tissue anatomy. There are different brain
tumor detection and segmentation methods to detect and segment a brain tumor
from MRI images. These detection and segmentation approaches are reviewed with
an importance placed on enlightening the advantages and drawbacks of these
methods for brain tumor detection and segmentation. The use of MRI image
detection and segmentation in different procedures are also described. Here a
brief review of different segmentation for detection of brain tumor from MRI of
brain has been discussed.

15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph