Feature extraction-based liver tumor classification using Machine Learning and Deep Learning methods of computed tomography images

Computer Science

• Deep Learning Method 100%
• Machine Learning 100%
• Learning System 100%
• Feature Extraction 100%
• Computer Assisted Tomography 100%
• Extracted Feature 83%
• Convolutional Neural Network 66%
• Random Decision Forest 33%
• Long Short-Term Memory Network 33%
• Decision Tree 33%
• Support Vector Machine 33%
• Residual Neural Network 33%
• Bidirectional Long Short-Term Memory Network 33%
• Long Short-Term Memory Neural Network 33%
• VGG16 33%
• Wavelet Transforms 16%
• Image Quality 16%
• Histogram Equalization 16%
• Classification Accuracy 16%
• Sharpening Algorithm 16%

Biochemistry, Genetics and Molecular Biology

• Computer Assisted Tomography 100%
• Short Term Memory 100%
• Feature Extraction 100%
• Tumor Classification 100%
• Support Vector Machine 33%
• Random Forest 33%
• Decision Trees 33%
• Image Quality 16%