Robust unsupervised texture segmentation for motion analysis in ultrasound images

Keyphrases

• Ultrasound Image 100%
• Motion Analysis 100%
• Gray Level 100%
• Level Variations 100%
• Unsupervised Texture Segmentation 100%
• Root Mean Square Error 66%
• Left Ventricle 66%
• Scoliosis 66%
• Interest Structure 66%
• Dice Coefficient 66%
• Sum Distance 66%
• Diaphragm Motion 66%
• Ultrasound Imaging 33%
• Echocardiography 33%
• Fractal Dimension 33%
• Computed Tomography 33%
• Adaptive Grid 33%
• Robust Features 33%
• Anatomical Structure 33%
• Motion Tracking 33%
• Low Contrast 33%
• Medical Imaging Modalities 33%
• Robust Descriptor 33%
• Blurry Boundary 33%
• Grid Pattern 33%
• Segmented Structure 33%
• MRI Scans 33%
• US Image 33%

Medicine and Dentistry

• Left Ventricle 100%
• Scoliosis 100%
• Diaphragm 100%
• Magnetic Resonance Imaging 50%
• Echocardiography 50%
• Ultrasonography 50%
• Diagnostic Imaging 50%
• Health Care Cost 50%
• Diseases 50%
• Anatomical Concepts 50%
• X-Ray Computed Tomography 50%
• Fractal Dimension 50%

Computer Science

• Healthy Subject 100%
• Ultrasound Image 100%
• Motion Analysis 100%
• Texture Segmentation 100%
• Medical Imaging 50%
• Fractal Dimension 50%
• United States of America 50%