CGBA-Net: context-guided bidirectional attention network for surgical instrument segmentation

Keyphrases

• Ablation Study 33%
• Attention Module 100%
• Attention Network 100%
• Bi-directional Attention 100%
• Cataract Surgery 33%
• Construction-based 33%
• Context-based 100%
• Effective Feature 33%
• Encoder-decoder 33%
• Endoscopic Vision 33%
• Information Fusion 33%
• Instrument Segmentation 100%
• Irrelevant Information 33%
• Low-level Features 66%
• Misclassification 33%
• Publicly Available Dataset 33%
• Robotics 33%
• Skip Connection 33%
• State-of-the-art Techniques 33%
• Surgical Instrument Segmentation 100%
• Uneven Illumination 33%
• Vision Dataset 33%

Computer Science

• Attention (Machine Learning) 100%
• Experimental Result 50%
• Local Information 50%
• Related Feature 50%