INIS
accuracy
33%
atherosclerosis
11%
attenuation
100%
classification
100%
comparative evaluations
11%
data
11%
datasets
11%
depth
11%
detection
11%
images
100%
in vivo
11%
learning
100%
neural networks
11%
patients
33%
pipelines
11%
processing
22%
sensitivity
11%
specificity
11%
testing
11%
tomography
11%
transformations
22%
validation
11%
values
11%
walls
11%
Computer Science
Accuracy
100%
Automatic Classification
100%
Convolutional Neural Network
33%
Deep Learning
100%
Detection
33%
Postprocessing Step
33%
Preprocessing Step
33%
Segmentation
33%
Testing
33%
Transformations
66%
Transformed Image
33%
Validation
33%
Medicine and Dentistry
Accuracy
42%
Atherosclerosis
14%
Enalapril Maleate
14%
Introspection
14%
Learning
100%
Optical Coherence Tomography
85%
Optical Coherence Tomography
14%
Plaque
100%
Plaque Characterization
14%
Sensitivity and Specificity
14%
Nursing and Health Professions
Atherosclerosis
16%
Classification
100%
Enalapril Maleate
16%
Imaging
16%
Optical Coherence Tomography
16%
Patient
50%
Procedures
50%
Processing
16%
Sensitivity and Specificity
16%
Pharmacology, Toxicology and Pharmaceutical Science
Atherosclerosis
100%
Cross-Validation
100%
Enalapril Maleate
100%