MRI brain tumor detection using deep learning and machine learning approaches
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Abstract
The development of aberrant brain cells, some of which may become cancerous, is known as a brain tumour. The quality of life and life expectancy of patients are enhanced by early and timely illness identification and treatment plans. Magnetic Resonance Imaging (MRI) scans are the most common approach for finding brain tumors. However, the ability of radiologists and other clinical experts to identify, segment, and remove contaminated tumour regions from MRI images is a critical factor in a process that is iterative and labor-intensive and relies on those individuals' abilities in these areas. Concepts for image processing may envision the diverse human organ anatomical structures. It is difficult to find…
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164
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- 100%
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Authors
4Topics & keywords
Topics
Keywords
- Artificial intelligence
- Computer science
- Support vector machine
- Segmentation
- Deep learning
- Machine learning
- Artificial neural network
- Magnetic resonance imaging
UN Sustainable Development Goals
- Decent work and economic growth
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