Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy

Keyphrases

• Ultrasound Imaging 100%
• Deep Learning Methods 100%
• Automatic Segmentation 100%
• Femoral Cartilage 100%
• Robotic-assisted Total Knee Arthroplasty 100%
• U-Net 75%
• Knee Arthroscopy 50%
• Physical Properties 25%
• Ultrasound 25%
• Intra-articular 25%
• Ultrasound-guided 25%
• Ultrasound Image 25%
• Orthopedic Surgeons 25%
• Dice Coefficient 25%
• Novel Metrics 25%
• 2D Ultrasound 25%
• Ultrasound Scan 25%
• Deep Neural Network 25%
• Surgical Outcomes 25%
• Interobserver 25%
• Knee Pathology 25%
• Minimally Invasive Surgery 25%
• Automated Segmentation Methods 25%
• 5-fold Cross Validation 25%
• Labelled Image 25%
• Surgical Conditions 25%
• Interobserver Variability 25%
• 3D Ultrasound 25%
• Autonomous Platforms 25%
• Refresh Rate 25%
• Volumetric Ultrasound 25%
• Robotic Surgery 25%
• Boundary Uncertainty 25%
• Observer Performance 25%
• Clinical Accuracy 25%

Computer Science

• Deep Learning Method 100%
• Automatic Segmentation 100%
• Fold Cross Validation 50%
• Ultrasound Image 50%
• Deep Neural Network 50%
• Observer Variability 50%
• segmentation algorithm 50%

Medicine and Dentistry

• Ultrasonography 100%
• Knee Arthroscopy 100%
• Volunteer 25%
• Orthopedic Surgeon 25%
• Cross-Validation 25%
• Minimally Invasive Procedure 25%
• Robot-Assisted Surgery 25%
• robotic platform 25%