Deep Learning for Smart Healthcare—A Survey on Brain Tumor Detection from Medical Imaging
Islamic Azad University North Tehran Branch · Institut Polytechnique de Paris
Abstract
Advances in technology have been able to affect all aspects of human life. For example, the use of technology in medicine has made significant contributions to human society. In this article, we focus on technology assistance for one of the most common and deadly diseases to exist, which is brain tumors. Every year, many people die due to brain tumors; based on "braintumor" website estimation in the U.S., about 700,000 people have primary brain tumors, and about 85,000 people are added to this estimation every year. To solve this problem, artificial intelligence has come to the aid of medicine and humans. Magnetic resonance imaging (MRI) is the most common method to diagnose brain tumors. Additionally, MRI is…
Citation impact
- FWCI
- 18.78
- Percentile
- 100%
- References
- 149
Authors
3Topics & keywords
- Deep learning
- Artificial intelligence
- Magnetic resonance imaging
- Medical imaging
- Computer science
- Domain (mathematical analysis)
- Focus (optics)
- Neuroimaging