Keyphrases
Anterior Segment Optical Coherence Tomography (AS-OCT)
84%
Attention Block
23%
Attention Module
7%
Attention Network
100%
Average Density
7%
Backbone Network
7%
Batch Size
7%
Blindness
7%
Cataract
23%
Cataract Diagnosis
7%
Cataract Patients
7%
Cataract Surgery
7%
Classification Basis
100%
Classification Methods
7%
Classification Performance
23%
Classification Results
23%
Clinical Reference
7%
Clinical Research
7%
Clinical Work
7%
Computer-aided Diagnosis Tools
7%
Correlation Relationship
15%
Dataset Splitting
23%
Default Settings
7%
Density Value
7%
Different Datasets
7%
Early Intervention
7%
Early-onset Cataract
7%
Feature Distribution
7%
Feature Map
7%
Feature Representation
7%
Fundus Image
7%
Fused Features
7%
Fusion Attention
100%
Gradient Method
7%
Gradient Vanishing
7%
High Repeatability
7%
Image Data
23%
Image-based
7%
Information Representation
7%
Intervention Surgery
7%
Network Applications
7%
Network Architecture Design
7%
Network Model
100%
Non-contact
7%
Nuclear Cataract
46%
Nuclear Cataract Classification
100%
Opacity
15%
Ophthalmic Image
7%
Optical Coherence Tomography Images
84%
Quality of Life
7%
Quality of Vision
7%
Redundant Channels
7%
Region Fusion
100%
Region Information
7%
Research Analysis
7%
Residual Connection
7%
Severity Level
23%
Softmax
7%
Splitting Method
38%
Squeeze-and-excitation Network (SENet)
15%
Stochastic Gradient Descent
7%
Training Epochs
7%
U-Net
7%
Vision Impairment
7%
Engineering
Batch Size
33%
Classification Method
33%
Classification Performance
100%
Computer Aided Diagnosis
33%
Gradient Descent
33%
Network Model
100%
Repeatability
33%
Research Work
33%
Severity Level
100%
Testing Dataset
33%
Computer Science
Aided Diagnosis
12%
Architecture Design
12%
Attention (Machine Learning)
100%
Backbone Network
12%
Classification Method
12%
Classification Performance
37%
classification result
37%
Gradient Descent
12%
Network Architecture
12%
Representation Information
12%
Residual Neural Network
12%
Softmax Function
12%
Vision Impairment
12%