Adaptive feature squeeze network for nuclear cataract classification in AS-OCT image

Keyphrases

• Optical Coherence Tomography Images 100%
• Nuclear Cataract Classification 100%
• Anterior Segment Optical Coherence Tomography (AS-OCT) 100%
• Adaptive Features 100%
• Squeeze Network 100%
• Nuclear Cataract 75%
• Image Data 50%
• Classification Results 50%
• Severity Level 25%
• State-of-the-art Techniques 25%
• Quality of Life 25%
• Opacity 25%
• Convolutional Neural Network Model 25%
• Novel Convolutional Neural Network 25%
• OCT Images 25%
• Effective Method 25%
• Mapping Method 25%
• Class Activation Map 25%
• Comprehensive Experiment 25%
• Age-related Cataract 25%
• Method Effectiveness 25%
• Cataract Patients 25%
• Quality of Vision 25%
• Discriminative Region 25%
• Pooling Operation 25%
• Cataract Disease 25%
• Local Feature Representation 25%
• Classification Research 25%
• Neural Network Framework 25%
• Adaptive Pooling 25%
• Feature Update 25%
• Cataract Surgery 25%
• Global Features Representation 25%
• Lens nucleus 25%

Computer Science

• Convolutional Neural Network 100%
• classification result 66%
• Interpretability 33%
• Neural Network Model 33%
• Effective Method 33%
• local feature 33%
• Class Activation Mapping 33%
• Global Feature 33%
• Relative Importance 33%
• Classification Research 33%