AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification

Keyphrases

• Multi-scale Convolutional Neural Network 100%
• Human Protein Atlas 100%
• Recognition System 33%
• Deep Learning 33%
• F1 Score 33%
• Classification Basis 33%
• High Performance 16%
• Subcellular Localization 16%
• Satisfactory Performance 16%
• Superior Performance 16%
• Classification Task 16%
• Identification Performance 16%
• Human Disease 16%
• Recognition Method 16%
• Recognition Performance 16%
• Microscope Image 16%
• Entropy Measure 16%
• Protein Recognition 16%
• Automatic Identification System 16%
• Automatic Analysis 16%
• Multi-label Classification 16%
• Classification Framework 16%
• Deep Convolutional Neural Network (deep CNN) 16%
• Mixed Pattern 16%
• Protein Classification 16%
• Automatic Feature Extraction 16%
• Single Pattern 16%
• Combining Loss 16%
• Biomedical Images 16%
• Identification Framework 16%
• Score Loss 16%
• Automatic Recognition System 16%
• Protein Atlas 16%
• Localization Patterns 16%
• Binary Cross Entropy 16%

Computer Science

• Convolutional Neural Network 100%
• Recognition System 100%
• Deep Learning Method 66%
• Automatic Analysis 33%
• Superior Performance 33%
• Classification Framework 33%
• Deep Convolutional Neural Networks 33%
• System Identification 33%
• Classification Task 33%
• Microscope Image 33%
• Feature Extraction 33%
• Multi-Label Classification 33%
• Entropy 33%

Food Science

• Protein Classification 100%