Deep learning for liver tumour classification: Enhanced loss function

Computer Science

• Classification Accuracy 100%
• Processing Time 100%
• Classification 75%
• Support Vector Machine 75%
• Classification (Machine Learning) 50%
• Linear Mapping 50%
• Regularization Function 50%
• Feature Extraction 50%
• Feature Vector 25%
• Extracted Feature 25%
• Selected Feature 25%
• Occurrence Matrix 25%
• Image Noise 25%
• Aided Diagnosis 25%
• Total Execution Time 25%
• Computer 25%
• Classes 25%
• Diagnosis 25%
• Probability 25%
• Filtering 25%
• Image Enhancement 25%

Mathematics

• Classification 75%
• Support Vector Machine 75%
• Loss Function 50%
• Deep Learning 50%
• Algorithm 50%
• Linear Mapping 50%
• Occurrence Matrix 25%
• Feature Vector 25%
• Gray Level 25%
• Score 25%
• Diagnosis 25%
• Classes 25%

Physics

• Images 100%
• Region 75%
• Model 50%
• Algorithms 50%
• Deep Learning 50%
• Area 25%
• Computers 25%
• Diagnosis 25%
• Feeding 25%
• Probability Theory 25%