Computer Science
Artificial Neural Networks
100%
Component Analysis
40%
Principal Components
40%
Support Vector Machine
40%
Postprocessing
20%
Machine Learning
20%
Presented Approach
20%
Linear Discriminant Analysis
20%
Visual Presentation
20%
Image Sequence
20%
Driven Approach
20%
Qualitative Comparison
20%
Dimensionality Reduction
20%
Reveal Information
20%
Hierarchical Architecture
20%
Temporal Dynamic
20%
Temporal Sequence
20%
Training Signal
20%
Effective Treatment
20%
Training Example
20%
RGB Image
20%
Classification Problem
20%
Binary Classification
20%
Early Detection
20%
Aided Diagnosis
20%
Image Information
20%
Computational Approach
20%
Statistical Feature
20%
Engineering
Dynamic Contrast
100%
Artificial Neural Network
38%
Radiologist
30%
Component Analysis
15%
Signal Space
15%
Principal Components
15%
Support Vector Machine
15%
Tasks
7%
Early Stage
7%
Early Detection
7%
Applicability
7%
Dimensionality
7%
Human Expert
7%
Image Sequence
7%
Colour Space
7%
Classification Problem
7%
Complementary Technique
7%
Temporal Signal
7%
Computer Aided Diagnosis
7%
Signal Data
7%
Common Type
7%
Image Value
7%
Statistical Feature
7%
RGB Image
7%
Germany
7%
Image Data
7%
Single Voxel
7%
Colour Scale
7%
Earth and Planetary Sciences
Artificial Neural Network
100%
Principal Component Analysis
40%
Support Vector Machine
40%
State of the Art
20%
Data Transmission
20%
Machine Learning
20%
United Kingdom
20%
Discriminant Analysis
20%
Germany
20%
Multi-Temporal Image
20%
Neuroscience
Magnetic Resonance Imaging
100%
Artificial Neural Network
41%
Contrast Medium
16%
Support Vector Machine
16%
Magnetic Resonance Imaging
8%
Magnetic Resonance Imaging Data Analysis
8%
Biochemistry, Genetics and Molecular Biology
Magnetism
100%
Principal Component Analysis
15%
Breast Cancer Screening
15%
Support Vector Machine
15%
Artificial Neural Network
15%
Dynamics
7%
Dimensionality Reduction
7%
Genetic Predisposition
7%