Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification

Keyphrases

• Original Image 100%
• Breast Cancer Classification 100%
• Selective Attention 100%
• Hard Attention 75%
• Deep Learning Methods 50%
• Decision Networks 50%
• Attention-based Approach 50%
• High-resolution 25%
• Performance Level 25%
• Deep Learning Model 25%
• Superior Performance 25%
• Classification Accuracy 25%
• High Classification Accuracy 25%
• Training Time 25%
• Histological Analysis 25%
• Image Database 25%
• Computationally Expensive 25%
• Selection Policy 25%
• Classification Network 25%
• Histopathological Images 25%
• Fast Convergence Rate 25%
• Resizing 25%
• Weak Guidance 25%
• Breast Cancer Histopathological Images 25%
• Training Strategy 25%

Computer Science

• Histopathological Image 100%
• Selective Attention 100%
• Deep Learning 66%
• Learning Approach 66%
• Classification Accuracy 66%
• Image Analysis 33%
• Superior Performance 33%
• Deep Learning Model 33%
• Convergence Rate 33%
• Information Loss 33%
• Fast Convergence 33%
• Image Database 33%
• Selection Policy 33%

Earth and Planetary Sciences

• State of the Art 100%
• Image Analysis 100%