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