Classification of brain strokes using divergence-based convolutional neural networks

Keyphrases

• Blood Flow 50%
• Brain Cells 50%
• Brain CT Images 50%
• Brain Potential 50%
• Brain Stroke 100%
• Convolutional Neural Network 100%
• Data Augmentation 50%
• Deep Neural Network 50%
• Detection Classification 50%
• Distance Network 50%
• Divergence 100%
• Early Detection 50%
• Functional Damage 50%
• Hemorrhagic Stroke 50%
• Immediate Intervention 50%
• Ischemic Stroke 50%
• Lifelong Disability 50%
• Minimum Distance 50%
• Ministry of Health 50%
• Number of Parameters 50%
• Preprocessing Techniques 50%
• Real Image 50%
• Stage Classification 50%
• Stroke Ischemic 50%
• Stroke Subtypes 100%
• Success Rate 50%
• Three-class Classification 50%
• Walsh Matrix 50%

Neuroscience

• Brain Ischemia 33%
• Cerebral Hemorrhage 33%
• Cerebrovascular Accident 100%
• Neural Network 100%