A Review on a Deep Learning Perspective in Brain Cancer Classification
Visvesvaraya National Institute of Technology · Dr. Babasaheb Ambedkar Marathwada University · +8 more institutions
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
- FWCI
- 20.62
- Percentile
- 100%
- References
- 99
Authors
13Topics & keywords
- Medicine
- Context (archaeology)
- Cancer
- Magnetic resonance imaging
- Deep learning
- Modalities
- Grading (engineering)
- Disease
- Good health and well-being