Engineering
Activation Function
25%
Angle Projection
25%
Anisotropic
16%
Benign Lesion
33%
Binary Code
16%
Biological Tissue
50%
Breathing
50%
Coherency
50%
Cooccurrence Matrix
16%
Deep Learning
91%
Deep Neural Network
37%
Doppler Tolerance
33%
Eigenvalue Analysis
50%
Explicit Expression
16%
Feature Vector
16%
Fits and Tolerances
16%
Gaussian Mixture
16%
Great Importance
16%
Ground Truth
25%
Heart Rate Variability
50%
Image Sequence
41%
Input Feature
16%
Input Layer
16%
Jacobian determinant
25%
Levenberg-Marquardt Algorithm
33%
Longer Term
33%
Loss Function
25%
Motion Estimation
50%
Motion Field
66%
Motion Model
25%
Mueller Matrix
66%
Optimization Method
33%
Perceptron
50%
Prior Probability
16%
Probabilistic Framework
16%
Projection Data
25%
Pulse-Compression Radar
50%
Radiotherapy
25%
Recurrent Neural Network
50%
Registration Accuracy
16%
Registration Process
16%
Sidelobes
50%
Similarities
25%
Singular Value
50%
State-of-the-Art Method
16%
Statistical Distribution
16%
Stokes Vector
50%
Temporal Resolution
50%
Texture Feature
50%
Value Engineering
50%
Computer Science
Aided Diagnosis
16%
Anatomical Information
7%
Anomaly Detection
50%
Classification Performance
25%
Deep Learning
50%
Deep Learning
16%
Deformable Registration
50%
Diagnostic Accuracy
16%
Estimated Motion Field
16%
Experimental Result
7%
Extracted Feature
16%
Feature Selection
50%
Feature Space
8%
Gaussian Mixture
16%
Hausdorff Distance
57%
Human Perception
16%
Image Sequence
73%
Linear Discriminant Analysis
16%
Local Analysis
16%
Motion Estimation
100%
Motion Model
100%
Motion Segmentation
50%
Network Capture
25%
Network Inference
16%
Neural Network
16%
Occurrence Matrix
16%
Posterior Probability
25%
Predictive Distribution
25%
Prior Probability
16%
Probabilistic Framework
16%
Projection Data
50%
Ray Projection
50%
Recurrent Neural Network
50%
Registration Process
16%
Segmentation Task
7%
State Variable
16%
Statistical Distribution
16%
Support Vector Machine
16%
Synthetic Image
16%
Temporal Projection
50%
Temporal Registration
16%
Temporal Resolution
50%
Texture Feature
50%
Traditional Method
16%
U-Net
25%
Uncertainty Estimation
16%
Uniform Distribution
25%
Medicine and Dentistry
Angiography
16%
Artery
16%
Cancer Staging
33%
Clinical Method
16%
Collagen Fiber
16%
Computer Assisted Diagnosis
16%
Computer-Aided Diagnosis
12%
Cross-Validation
16%
Dermatoscopy
45%
Diagnosis
12%
Diagnostic Accuracy
12%
Discriminant Analysis
12%
Early Diagnosis
16%
Electrocardiogram
50%
Exercise Tolerance
16%
Heart Muscle Ischemia
33%
Heart Rate Variability
50%
Ischemia
33%
Melanocyte
16%
Morphology
33%
Nodular Melanoma
66%
Non Invasive Measurement
16%
Pigmentation
50%
Pigmented Lesion
33%
Skin Cancer
16%
Skin Defect
75%
ST Segment
16%
T Wave
16%
