INIS
images
100%
classification
66%
patients
33%
accuracy
33%
attenuation
33%
learning
22%
processing
22%
transformations
22%
data
11%
in vivo
11%
testing
11%
detection
11%
comparative evaluations
11%
tomography
11%
sensitivity
11%
datasets
11%
validation
11%
values
11%
specificity
11%
walls
11%
depth
11%
pipelines
11%
atherosclerosis
11%
neural networks
11%
Medicine and Dentistry
Plaque
77%
Optical Coherence Tomography
66%
Accuracy
33%
Learning
22%
Cross-Validation
22%
Sensitivity and Specificity
11%
Athletic Training
11%
Optical Coherence Tomography
11%
Enalapril Maleate
11%
Plaque Characterization
11%
Introspection
11%
Atherosclerosis
11%
Nursing and Health Professions
Classification
66%
Patient
66%
Procedures
44%
Sensitivity and Specificity
11%
Atherosclerosis
11%
Optical Coherence Tomography
11%
Imaging
11%
Enalapril Maleate
11%
Processing
11%
Computer Science
Classification
55%
Accuracy
33%
Deep Learning
22%
Transformations
22%
Segmentation
11%
Preprocessing Step
11%
Postprocessing Step
11%
Automatic Classification
11%
Convolutional Neural Network
11%
Transformed Image
11%
Testing
11%
Detection
11%
Validation
11%
Pharmacology, Toxicology and Pharmaceutical Science
Enalapril Maleate
11%
Atherosclerosis
11%