An ensemble of optimal deep learning features for brain tumor classification

Computer Science

• Deep Learning Model 100%
• Representation Learning 100%
• Optimal Deep Learning 100%
• Feature Extraction 50%
• Support Vector Machine 50%
• Feature Selection 50%
• Optimization Algorithm 50%
• Ant Colony Optimization 50%
• Classification Method 50%
• Computer Vision 50%
• Image Analysis 50%
• Transfer Learning 50%
• Tumor Detection 50%
• Technological Development 50%
• ResNet50 50%

Biochemistry, Genetics and Molecular Biology

• Tumor Classification 100%
• Tumor Volume 50%
• Support Vector Machine 50%
• Feature Extraction 50%
• Transfer of Learning 50%

Neuroscience

• Intracranial Tumor 100%
• Low-Grade Glioma 33%
• Support Vector Machine 16%