Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Review on End-To-End Methods for Brain Tumor Segmentation and Overall
  Survival Prediction   Brain tumor segmentation intends to delineate tumor tissues from healthy
brain tissues. The tumor tissues include necrosis, peritumoral edema, and
active tumor. In contrast, healthy brain tissues include white matter, gray
matter, and cerebrospinal fluid. The MRI based brain tumor segmentation
research is gaining popularity as; 1. It does not irradiate ionized radiation
like X-ray or computed tomography imaging. 2. It produces detailed pictures of
internal body structures. The MRI scans are input to deep learning-based
approaches which are useful for automatic brain tumor segmentation. The
features from segments are fed to the classifier which predict the overall
survival of the patient. The motive of this paper is to give an extensive
overview of state-of-the-art jointly covering brain tumor segmentation and
overall survival prediction.

6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn