Deep Transfer Learning with Multi-Level Features Extraction Approach for Breast Cancer Classification

Computer Science

• Deep Transfer Learning 100%
• VGG-19 Convolutional Neural Network 100%
• Feature Extraction 100%
• Image Processing 50%
• Transfer Learning 50%
• Lower Performance 50%
• Backbone Network 50%
• Learning Approach 50%
• Early Detection 50%
• Computational Time 50%
• Intermediate Stage 50%
• Feature Map 50%

Engineering

• Feature Extraction 100%
• Level Feature 100%
• Transfer Learning 100%
• Intermediate Stage 33%
• Computational Time 33%
• Early Detection 33%
• Learning Approach 33%
• Image Processing 33%

Biochemistry, Genetics and Molecular Biology

• Cancer Classification 100%
• Transfer of Learning 100%
• Feature Extraction 100%