An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images

Computer Science

• Transfer Learning 100%
• Attention (Machine Learning) 100%
• Learning Approach 100%
• Classification Accuracy 100%
• Deep Learning Model 66%
• Artificial Intelligence 66%
• Image Classification 33%
• Interpretability 33%
• Deep Learning Technique 33%
• Convolutional Neural Network 33%
• Image Database 33%
• Image Analysis 33%
• Classification Process 33%
• Classification Task 33%
• Complex Pattern 33%
• Histopathological Image 33%