Keyphrases
Automatic Segmentation
80%
Polytrauma Patients
80%
Subcutaneous Adipose Tissue
66%
Deep Learning
66%
Visceral Adipose Tissue
66%
Concordance Correlation Coefficient
53%
Muscle Tissue
40%
Adipose Tissue
40%
Abdominal
40%
Image Processing
40%
Head-and-neck Cancer
40%
Polytrauma
40%
Sarcopenia
40%
CT Slices
40%
Convolutional Neural Network
40%
Body Composition Analysis
40%
Abdominal Computed Tomography
40%
Image-based
40%
Clinical Evaluation
40%
Deep Learning Neural Network
40%
Human Expert
26%
Model Selection Criteria
26%
Clinical Practice
26%
Body Composition Indices
26%
Skeletal muscle
26%
Radiation Attenuation
26%
Vertebral Level
26%
Abdominal Cancer Surgery
26%
Lumbar Vertebrae
26%
Motion Artifact
13%
Potential Bottleneck
13%
Healthcare
13%
Model Performance
13%
Strength Function
13%
Likert Scale
13%
Pre-processing Selection
13%
Vertebral Body
13%
Reporting Standards
13%
Deep Learning Methods
13%
Hospital Setting
13%
Image Quality
13%
Clinical Application
13%
Accurate Segmentation
13%
Dice Coefficient
13%
Rapid Quantification
13%
Time Efficiency
13%
Random Seed
13%
Bland-Altman Limits of Agreement
13%
Agreement Interval
13%
Clinical Utilization
13%
INIS
patients
100%
learning
83%
muscles
80%
adipose tissue
66%
images
62%
neural networks
61%
cancer
54%
body composition
48%
processing
40%
performance
40%
evaluation
40%
computerized tomography
40%
optimization
40%
computed tomography
40%
correlations
37%
levels
22%
humans
20%
implementation
20%
applications
16%
datasets
16%
surgery
14%
radiations
14%
attenuation
14%
tools
13%
image processing
10%
testing
10%
prediction
10%
architecture
10%
randomness
10%
validation
10%
reviews
10%
compartments
8%
detection
8%
spine
8%
algorithms
8%
tuning
8%
motion
8%
trauma
8%
diseases
6%
losses
6%
assessments
6%
metrics
6%
efficiency
6%
increasing
6%
accuracy
6%
panels
6%
hospitals
6%
geometry
6%
