reviewCancersJan 18, 2019GOLD OA

A Review on a Deep Learning Perspective in Brain Cancer Classification

Visvesvaraya National Institute of Technology · Dr. Babasaheb Ambedkar Marathwada University · +8 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

A World Health Organization (WHO) Feb 2018 report has recently shown that mortality rate due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It is of critical importance that cancer be detected earlier so that many of these lives can be saved. Cancer grading is an important aspect for targeted therapy. As cancer diagnosis is highly invasive, time consuming and expensive, there is an immediate requirement to develop a non-invasive, cost-effective and efficient tools for brain cancer characterization and grade estimation. Brain scans using magnetic resonance imaging (MRI), computed tomography (CT), as well as other imaging modalities, are fast and safer methods for tumor…

Citation impact

452
total citations
FWCI
20.62
Percentile
100%
References
99
Citations per year

Authors

13

Topics & keywords

Keywords
  • Medicine
  • Context (archaeology)
  • Cancer
  • Magnetic resonance imaging
  • Deep learning
  • Modalities
  • Grading (engineering)
  • Disease
UN Sustainable Development Goals
  • Good health and well-being
No related works found for this paper.