Keyphrases
Adversarial Learning
100%
Generative Adversarial Networks
100%
Image Classification Methods
100%
Medical Image Classification
100%
Discriminator Network
50%
Classification Framework
37%
Adversarial Network
37%
Feature Extraction Network
37%
Reconstruction Network
37%
Sensitivity Specificity
25%
Model Performance
25%
Learning Strategies
25%
Network Model
25%
Loss Function
25%
Training Data
25%
Classification Accuracy
25%
Generated Image
25%
Oropharyngeal Squamous Cell Carcinoma (OPSCC)
25%
Classification Methods
25%
Ablation Study
25%
Original Image
25%
COVID-19 Data
25%
Image Data
12%
Image Quality
12%
Reconstruction Process
12%
Dataset Size
12%
Labeled Data
12%
Clinical Setting
12%
Deep Learning Methods
12%
Reconstructed Image
12%
Present Challenges
12%
Unique Characteristics
12%
Medical Image Data
12%
Regularization Term
12%
Image Size
12%
Performance Metrics
12%
Classification Performance
12%
Network Applications
12%
Extracting Features
12%
Positron Emission Tomography
12%
Network Architecture
12%
Superior Performance
12%
Multiplex Networks
12%
Training Model
12%
Overfitting
12%
Network-based Methods
12%
Classification Task
12%
Proposal Classification
12%
Deep Learning
12%
Data Augmentation
12%
Training Image
12%
Network Training
12%
Network Depth
12%
Specific Loss Power
12%
Amount of Training
12%
Modular Design
12%
Medical Imaging Application
12%
Size Function
12%
Improving Model
12%
Model Effectiveness
12%
Network Classification
12%
Guiding Model
12%
Tomography Image
12%
Medical Imaging Data
12%
Imbalanced Class Distribution
12%
Loss Function Design
12%
Chest X-ray Images
12%
Deep Learning-based Classification
12%
Learning-based Classification
12%
Computer Science
Classification Method
100%
Image Classification
100%
Generative Adversarial Networks
100%
Discriminator
50%
Classification Framework
37%
Feature Extraction Network
37%
Regularization
25%
Medical Imaging
25%
Classification Accuracy
25%
Performance Model
25%
Deep Learning Method
25%
Reconstruction Process
12%
Reconstructed Image
12%
Classification Performance
12%
Training Data
12%
Training Model
12%
Regularization Term
12%
Extracted Feature
12%
Network Architecture
12%
Training Dataset
12%
Performance Metric
12%
Multiple Network
12%
Superior Performance
12%
Classification Task
12%
Class Distribution
12%
Data Augmentation
12%
Training Image
12%
Comparative Method
12%
Deep Learning Technique
12%