INIS
accuracy
12%
algorithms
21%
beams
18%
brain
17%
breath
35%
cancer
65%
cat scanning
9%
classification
17%
comparative evaluations
20%
computerized tomography
22%
correlations
12%
data
19%
datasets
15%
diaphragm
17%
dose distributions
23%
doses
58%
errors
17%
evaluation
32%
external beam radiation therapy
9%
filters
8%
forests
17%
images
25%
learning
11%
liver
12%
lungs
35%
machine learning
13%
metrics
15%
modulation
10%
monitoring
26%
motion
22%
nmr imaging
13%
organs
17%
patients
38%
performance
9%
phantoms
14%
planning
56%
precision
15%
prediction
38%
prostate
26%
quality assurance
10%
radiomics
12%
radiotherapy
100%
randomness
17%
risks
11%
surfaces
10%
validation
14%
values
22%
vectors
22%
verification
9%
volume
21%
Keyphrases
4D Ultrasound
11%
Abdominal
22%
Anterior-posterior
18%
Breath-hold
26%
Cancer Treatment Planning
8%
Computed Tomography
14%
Cone-beam Computed Tomography
11%
Conformity Index
10%
Conventional Filters
8%
Deep Inspiration Breath Hold
30%
Diaphragm
17%
Dose Distribution
35%
Dose Prediction
11%
EfficientNet
11%
Expert Validation
8%
External Beam Radiotherapy
19%
Flattening Filter Free
8%
Gantry Angle
8%
Homogeneity Index
10%
IMRT Plan
14%
Intensity-modulated Radiation Therapy
35%
Knowledge Base
8%
Lung Cancer
37%
Machine Learning
10%
Machine Learning Models
9%
Organs at Risk
16%
Phantom
12%
Planners
9%
Planning Target Volume
15%
Prostate
24%
Prostate Radiotherapy
8%
Radiation Therapy
27%
Radiation Therapy Techniques
17%
Radiation Treatment Planning
26%
Radiomics
10%
Radiotherapy Planning
11%
Random Forest Algorithm
13%
Random Forest Regression
10%
Real-time Tracking Systems
17%
Residual Motion
13%
Stereotactic Radiotherapy
8%
Surface Guidance
8%
Target Organ
10%
Therapeutic Algorithm
8%
Time Monitoring
9%
Treatment Plan
11%
Treatment Verification
8%
Ultrasound
31%
Ultrasound-based
28%
Upper Abdomen
10%
