Keyphrases
Medical Image
100%
Generative Adversarial Networks
100%
Image Segmentation
36%
Data Augmentation
36%
Image Denoising
36%
High-resolution
27%
Unlabeled Data
27%
Migration Image
27%
Segmentation Model
18%
Generalization Performance
18%
Network Applications
18%
Image-to-image Translation
18%
Training Model
18%
Synthesized Images
18%
Network Model
18%
Full Use
18%
Medical Image Processing
18%
Improvement Direction
18%
Three-dimensional Data
18%
Data Synthesis
18%
Unpaired Data
18%
Geometric Structure
18%
Three-dimensional (3D)
9%
High-level Semantics
9%
Deep Learning Methods
9%
Segmentation Performance
9%
Loss Function
9%
Image Synthesis
9%
Development Issues
9%
Training Data
9%
Synthesis Methods
9%
Magnetic Resonance Imaging
9%
Quality Assessment
9%
Network Architecture
9%
Challenging Issues
9%
3D Data
9%
Promising Solutions
9%
Knowledge Integration
9%
Classification Performance
9%
Complex Data
9%
Data Distribution
9%
Performance-based
9%
Training Methods
9%
Information Fusion
9%
Biological Structures
9%
Medical Field
9%
Computed Tomography
9%
Training Image
9%
Structure Preservation
9%
Granularity
9%
Cross-modal
9%
Unsupervised Learning
9%
Multimodal Data
9%
Different Granularity
9%
Structure Information
9%
Single Modality
9%
Pix2Pix
9%
Imaging Tomography
9%
Medical Image Data
9%
CycleGAN
9%
Synthetic Samples
9%
Training Stability
9%
Semantic Level
9%
Invariant Features
9%
Structures Maintenance
9%
Medical Image Application
9%
Synthesized Data
9%
Conditional Constraints
9%
Natural Image Processing
9%
Task Splitting
9%
Radiation Impact
9%
Guiding Model
9%
Image Attributes
9%
Migration Limit
9%
Current Quality
9%
Objective Function Method
9%
Maintenance Data
9%
Translation Quality
9%
Field Problem
9%
Field Points
9%
Geometric Knowledge
9%
Distribution Learning
9%
Improving Model
9%
3D Image Synthesis
9%
3D Synthesized Images
9%
Image Research
9%
Attribute Control
9%
Sample Diversity
9%
Data Usage
9%
Computer Science
Generative Adversarial Networks
100%
Image Segmentation
36%
Data Augmentation
36%
Discriminator
27%
de-noising
27%
Segmentation Model
18%
Image Synthesis
18%
Generalization Performance
18%
Image Translation
18%
Training Model
18%
Network Application
18%
Dimensional Data
18%
Medical Image Processing
18%
Basic Framework
18%
Data Synthesis
18%
Full Advantage
9%
Segmentation Performance
9%
Deep Learning
9%
Development Issue
9%
Image Processing
9%
Training Data
9%
Unlabeled Data
9%
Network Architecture
9%
Knowledge Integration
9%
Classification Performance
9%
Data Distribution
9%
Objective Function
9%
Training Image
9%
Granularity
9%
Theoretical Study
9%
Multimodality
9%
image denoising
9%
translation quality
9%
Quality Assessment
9%
Medical Image Data
9%
Higher Semantic Level
9%
Data Application
9%
Granularity Level
9%
Engineering
Medical Image
100%
High Resolution
37%
Image Processing
37%
Discriminator
37%
Network Model
25%
Image Translation
25%
Rationality
25%
Network Application
25%
Granularity
25%
Dimensional Data
25%
Image Synthesis
25%
Tasks
12%
Level Semantics
12%
Deep Learning
12%
Loss Function
12%
Theoretical Study
12%
Structure Information
12%
Objective Function
12%
Medical Field
12%
Classification Performance
12%
Image Data
12%
Natural Image
12%
Quality Assessment
12%
Field Point
12%
Field Problem
12%
Additional Data
12%
Semantic Level
12%