Efficient segmentation of multi-modal optoacoustic and ultrasound images using convolutional neural networks

Keyphrases

• Modal 100%
• Convolutional Neural Network 100%
• Ultrasound Image 100%
• Optoacoustic 100%
• Efficient Segmentation 100%
• Multispectral Optoacoustic Tomography 66%
• Accurate Segmentation 33%
• Two Dimensional 33%
• Segmentation Method 33%
• Spatial Resolution 33%
• Acoustic Properties 33%
• Mouse Brain 33%
• Attenuation 33%
• Imaging Capability 33%
• Co-registration 33%
• Experimental Performance 33%
• Imaging Modalities 33%
• Biological Tissue 33%
• Ultrasound Imaging 33%
• Optical Properties 33%
• Segmented Image 33%
• Active Contour Segmentation 33%
• Photoacoustic Imaging 33%
• Ultrasound Waves 33%
• Ultrasound System 33%
• Functional Imaging 33%
• Speed of Sound Variations 33%
• Blood Flow 33%
• Mouse Liver 33%
• Molecular Imaging 33%
• Wavelength Dependence 33%
• Unique Capabilities 33%
• Endogenous Substances 33%
• Mouse Kidney 33%
• Tissue Anatomy 33%
• Light Fluence 33%
• Acoustic Mismatch 33%
• Automated Segmentation Methods 33%
• Pulse-echo Ultrasound 33%
• Dice Coefficient Metric 33%
• Exogenous Substances 33%

Engineering

• Convolutional Neural Network 100%
• Metrics 50%
• Two Dimensional 50%
• Segmentation Method 50%
• Imaging Modality 50%
• Biological Tissue 50%
• Active Contour 50%
• Echo Pulse 50%
• Rendered Image 50%
• Based Segmentation Method 50%
• Spatial Resolution 50%