Keyphrases
Peripheral Arterial Disease
100%
Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI)
100%
Texture Features
100%
Machine Learning-based Approach
100%
Classification Approach
18%
Calf muscle
18%
Perfusion
9%
Non-invasive Imaging
9%
Selection Strategy
9%
Machine Learning
9%
Treadmill Exercise
9%
Treadmill
9%
Diabetes
9%
High Risk
9%
Without Diabetes
9%
Training Data
9%
Number of Features
9%
Medical Practitioners
9%
Three-class Classification
9%
Magnetic Resonance Imaging Scan
9%
Testing Data
9%
Connective Tissue
9%
Muscle Activation Patterns
9%
Texture Patterns
9%
Microvascular Perfusion
9%
Intermittent Claudication
9%
Cross-validation Method
9%
Machine Learning Models
9%
Test Accuracy
9%
Class Classification
9%
Blood Circulation
9%
Non-completers
9%
Lower Extremity Ischemia
9%
Means Testing
9%
Automatic pipeline
9%
Testing Accuracy
9%
Computer Science
Texture Feature
100%
Disease Patient
100%
classification approach
66%
Class Classification
66%
Validation Technique
33%
Average Accuracy
33%
Texture Pattern
33%
Medicine and Dentistry
Magnetic Resonance Imaging
100%
Arteriosclerosis Obliterans
100%
Diabetes
18%
Imaging Technique
9%
Treadmill Exercise
9%
Connective Tissue
9%
Cross-Validation
9%
Intermittent Claudication
9%
Leg Ischemia
9%
Feature Extraction
9%
Circulation
9%
Nursing and Health Professions
Nuclear Magnetic Resonance Imaging
100%
Peripheral Occlusive Artery Disease
100%
Imaging
18%
Perfusion
18%
Treadmill Exercise
9%
Physician
9%
Intermittent Claudication
9%
Treadmill
9%
Leg Ischemia
9%
Neuroscience
Magnetic Resonance Imaging
100%
Magnetic Resonance Imaging
50%
Connective Tissue
50%
Imaging Technique
50%
Biochemistry, Genetics and Molecular Biology