Segmentation and classification of stomach abnormalities using deep learning

Computer Science

• Deep Learning Method 100%
• Hybrid Approach 25%
• Feature Extraction 25%
• Feature Selection 25%
• Ensemble Learning 25%
• Learning Approach 25%
• Mutual Information 25%
• Representation Learning 25%
• Classification Task 25%
• Transfer Learning 25%
• Deep Feature 25%
• RGB Image 25%
• Texture Feature 25%

Engineering

• Deep Learning Method 100%
• Hybrid Approach 25%
• Classification Task 25%
• Feature Extraction 25%
• Transfer Learning 25%
• Optimal Feature 25%
• Learning Approach 25%
• Mutual Information 25%
• RGB Image 25%
• Automated System 25%
• Local Binary Pattern 25%
• Texture Feature 25%

Chemical Engineering

• Deep Learning Method 100%