Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approach

Computer Science

• Detection 100%
• Deep Learning 60%
• Detection Performance 40%
• Learning Approach 40%
• Convolutional Neural Network 40%
• False Positive 40%
• Computational Cost 20%
• Diagnostics 20%
• Learning Algorithm 20%
• Contextual Information 20%
• Adjacent Slice 20%
• Fold Cross Validation 20%
• 3D Convolutional Neural Networks 20%
• Radial Symmetry 20%
• Channels 20%
• Identification 20%

Neuroscience

• Susceptibility Weighted Imaging 40%
• Cognitive Disorders 20%
• Dementia 20%
• Brain 20%
• Stroke 20%
• Cerebrovascular Disease 20%
• Cerebral Hemorrhage 20%