INIS
radiomics
99%
images
87%
computerized tomography
45%
metrics
43%
cancer
42%
volume
34%
size
32%
tumors
30%
modeling
30%
positron computed tomography
29%
optimization
29%
design
29%
beams
29%
evaluation
29%
cones
29%
performance
27%
data
26%
computed tomography
24%
biological markers
24%
losses
22%
comparative evaluations
21%
patients
18%
lung cells
16%
datasets
15%
medicine
14%
machine learning
14%
simulation
14%
doses
14%
noise
14%
redundancy
14%
Keyphrases
Radiomics
100%
CycleGAN
43%
Computerized Tomography
29%
2D Model
29%
2D to 3D
29%
Image Similarity Measure
29%
3D Model
29%
Evaluation Metrics
29%
3D Modeling
29%
Structural Similarity Index
29%
Patch Size
29%
Cycle Consistency Loss
29%
Cone-beam Computer Tomography
29%
Training Time
29%
FDG Positron Emission Tomography
21%
Computed Tomography
20%
Digital Biomarkers
18%
Textural Features
16%
Non-small Cell Lung Cancer (NSCLC)
16%
Tumor Segmentation
16%
Repeatability
16%
Radiomics Reproducibility
16%
Digital Imaging
14%
Preclinical Imaging
14%
Biomarker Studies
14%
Cancer Imaging
14%
Positron Emission Tomography-computed Tomography (PET-CT)
14%
Reporting Quality
14%
Dice Score
14%
Interobserver
14%
Computer Science
Structural Similarity
29%
Image Translation
29%
Image Similarity
29%
Evaluation Metric
29%
Reproducibility
26%
Generalizability
17%
Imaging Modality
14%
Ontology
14%
Performance Model
14%
Design Criterion
14%
Use Case
14%
Prediction Accuracy
14%
Visual Inspection
14%
Data Type
14%
Generative Adversarial Networks
14%
Evaluation Criterion
14%
Redundancy Analysis
14%
Memory Footprint
14%
Uncertainty Estimation
14%
Telecommunication
14%
Machine Learning
14%
Learning System
14%
Image Acquisition
13%
Principal Components
9%
Component Analysis
9%
Logistic Regression
9%
Predictive Model
7%
Classification Accuracy
7%
Feature Extraction
7%
Cancer Patient
7%