An Automated Machine Learning Framework for Surgical Suturing Action Detection under Class Imbalance

Keyphrases

• Rapid Deployment 100%
• Surgical Training 100%
• Action Detection 100%
• Class Imbalance 100%
• Real-time Detection 100%
• Machine Learning Framework 100%
• Surgical Activity 100%
• AutoML 100%
• Surgical Suture 100%
• Surgeons 50%
• Medical Applications 50%
• Skill Development 50%
• Laparoscopy 50%
• Training Set 50%
• Training System 50%
• Reliability Constraint 50%
• Robust Prediction 50%
• Machine Learning Techniques 50%
• Skill Level 50%
• Deep Learning Methods 50%
• Machine Learning Models 50%
• Trainee Surgeons 50%
• Traditional Machine Learning 50%
• Guided Training 50%
• Presurgical Evaluation 50%
• Instructional Skills 50%
• Model Transparency 50%
• Instructional Feedback 50%
• Imbalanced Class Distribution 50%

Computer Science

• Surgical Training 100%
• Learning Framework 100%
• Surgical Action 100%
• Automated Machine Learning 100%
• Class Imbalance 100%
• Rapid Deployment 100%
• Collected Data 50%
• Learning Approach 50%
• Interpretability 50%
• Training System 50%
• Training Environment 50%
• Medical Applications 50%
• Deep Learning Method 50%
• Machine Learning 50%
• Learning System 50%
• Instructional Time 50%
• Reliability Requirement 50%
• Class Distribution 50%