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Keyphrases
Glioblastoma
100%
Primary Central Nervous System Lymphoma (PCNSL)
100%
First-order
100%
Texture Analysis
100%
Machine Learning Experiments
100%
Small Combination of Slices
100%
Diagnostic Performance
80%
Area under the Curve
80%
Whole Tumor
80%
High Performance
40%
Feature Selection Methods
40%
Model Performance
40%
Correlation Filter
40%
Model Selection Strategy
40%
Model Validation
20%
Contrast Enhancement
20%
Logistic Regression
20%
No Significant Difference
20%
Receiver Operating Characteristic Curve
20%
T1-weighted
20%
Histogram
20%
Lymphoma Patients
20%
Multiple Machines
20%
T1 Contrast
20%
Least Absolute Shrinkage and Selection Operator (LASSO)
20%
Parameter Extraction
20%
Machine Learning Classifiers
20%
Weighted Contrast
20%
Classifier Combination
20%
Performance Areas
20%
Multilayer Perceptron
20%
Contrast-enhanced Images
20%
Classifier Model
20%
Texture Parameters
20%
Operator Model
20%
Nested Cross-validation
20%
Classifier Model Selection
20%
Machine Learning Performance
20%
Whole-tumor Analysis
20%
Medicine and Dentistry
Magnetic Resonance Imaging
100%
Glioblastoma
100%
Tumor
100%
Primary Central Nervous System Lymphoma
100%
Diagnostic Performance
80%
Feature Extraction
40%
Cross-Validation
20%
Retrospective Study
20%
Logistic Regression Analysis
20%
T1 Contrast
20%
Engineering
Texture Analysis
100%
Learning System
100%
Feature Extraction
66%
Histogram
33%
Least Absolute Shrinkage and Selection Operator
33%
Enhanced Image
33%
Receiver Operating Characteristic
33%
Operating-Characteristic Curve
33%
Selection Method
33%
Perceptron
33%
Neuroscience
Magnetic Resonance Imaging
100%
Primary Central Nervous System Lymphoma
100%
T1 Contrast
25%
Perceptron
25%
Chemical Engineering
Learning System
100%
Feature Extraction
66%
Multilayer Neural Networks
33%