Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images
King Saud University · University of Newcastle Australia · +3 more institutions
Abstract
Brain tumor classification is a very important and the most prominent step for assessing life-threatening abnormal tissues and providing an efficient treatment in patient recovery. To identify pathological conditions in the brain, there exist various medical imaging technologies. Magnetic Resonance Imaging (MRI) is extensively used in medical imaging due to its excellent image quality and independence from ionizing radiations. The significance of deep learning, a subset of artificial intelligence in the area of medical diagnosis applications, has macadamized the path in rapid developments for brain tumor detection from MRI to higher prediction rate. For brain tumor analysis and classification, the convolution…
Citation impact
- FWCI
- 24.62
- Percentile
- 100%
- References
- 32
Authors
7Topics & keywords
- Convolutional neural network
- Artificial intelligence
- Computer science
- Deep learning
- Transfer of learning
- Brain tumor
- Magnetic resonance imaging
- Pattern recognition (psychology)