INIS
computed tomography
100%
learning
100%
resolution
100%
fibrosis
100%
radiomics
100%
accuracy
33%
diseases
25%
lungs
25%
interstitials
25%
patients
16%
validation
16%
comparative evaluations
16%
performance
16%
additives
16%
cam
16%
curves
8%
images
8%
specificity
8%
diagnosis
8%
complement
8%
diagnostic techniques
8%
datasets
8%
prediction
8%
texture
8%
auc
8%
Keyphrases
Idiopathic Pulmonary Fibrosis
100%
Deep Learning
100%
High-resolution Computed Tomography Scan
100%
Handcrafted Radiomics
100%
Deep Learning Model
66%
Radiomics Model
33%
Non-idiopathic
25%
Interstitial Lung Disease
25%
5-fold Cross Validation
16%
In Silico Trials
16%
Ensemble Model
16%
Shapley Additive Explanations
16%
Gradient-weighted Class Activation Mapping (Grad-CAM)
16%
Diagnostic Performance
8%
Area under the Receiver Operating Characteristic Curve
8%
Radiologists
8%
Clinically Significant
8%
Diagnostic Tool
8%
Pulmonologist
8%
Deep Learning Methods
8%
Performance Comparison
8%
McNemar Test
8%
External Data
8%
Texture Features
8%
Explanatory Analysis
8%
Heat Map
8%
Deep Learning Radiomics
8%
Post-hoc Interpretability
8%
Automated Diagnostics
8%
Biochemistry, Genetics and Molecular Biology
Computer Assisted Tomography
100%
Radiomics
100%
Retrospective Study
8%
Neuroscience
Computed Tomography
100%
Pulmonary Fibrosis
100%