Keyphrases
Prognostic Biomarker
100%
Head-and-neck Cancer
100%
Radiomics
100%
Machine Learning Classifiers
100%
Cancer Patients
37%
Feature Selection Methods
37%
Overall Survival
25%
Classification Methods
25%
Image Features
25%
Machine Learning Techniques
25%
Prognostic Performance
25%
Trustworthy Machine Learning
25%
Tumor
12%
Total Variance
12%
Feature Extraction
12%
Highly Accurate
12%
Cancer Care
12%
Tumor Region
12%
Training Population
12%
Clinical Oncology
12%
Feature Classification
12%
CT Images
12%
Oncology Care
12%
Machine Learning Approach
12%
Medical Imaging
12%
Underlying Assumptions
12%
Highly Reliable
12%
Evaluation Framework
12%
Prognostic Analysis
12%
Machine Learning Classification
12%
Infomax
12%
Performance Variation
12%
Minimum Redundancy Maximum Relevance (mRMR)
12%
Precision Oncology
12%
Performance Variability
12%
Phenotypic Characteristics
12%
Mutual Information Feature Selection
12%
INIS
cancer
100%
biological markers
100%
machine learning
100%
radiomics
100%
stability
75%
performance
62%
patients
37%
classification
37%
tumors
25%
validation
12%
information
12%
comparative evaluations
12%
cost
12%
variations
12%
precision
12%
biomedical radiography
12%
evaluation
12%
prediction
12%
cat scanning
12%
extraction
12%
redundancy
12%
mines
12%
Biochemistry, Genetics and Molecular Biology
Radiomics
100%
Feature Extraction
62%
Overall Survival
25%
Extract
12%