Application of deep convolutional and long short-term memory neural networks to red blood cells motion detection and velocity approximation

Keyphrases

• Capillary 100%
• Red Blood Cells 100%
• Red Blood Cell Velocity 100%
• Long Short-term Memory Neural Network 100%
• Motion Detection 100%
• U-Net 100%
• Mean Velocity 100%
• Motion Velocity 100%
• Depthwise Separable Convolution 100%
• Cell Motion 100%
• Artificial Neural Network 50%
• Process Data 50%
• Nail Fold 50%
• Deterministic Approach 50%
• Stochastic Approach 50%
• Pulsation 50%
• Feature Vector 50%
• Pixel Intensity 50%
• Intensity Analysis 50%
• Feature Extractor 50%
• Video Frames 50%
• Object Detection 50%
• Videocapillaroscopy 50%
• GoogLeNet 50%
• Classification Network 50%
• Long Short-term Memory Network 50%
• Semantic Segmentation Network 50%

Engineering

• Erythrocyte 100%
• Long Short-Term Memory 100%
• Artificial Neural Network 16%
• Feature Vector 16%
• Stochastic Approach 16%
• Extractor 16%
• Classification Network 16%
• Lstm 16%
• Intensity Analysis 16%

Biochemistry, Genetics and Molecular Biology

• Movement Perception 100%
• Short Term Memory 100%
• Artificial Neural Network 50%