Prompt Learning With Bounding Box Constraints for Medical Image Segmentation

Keyphrases

• Annotation Efficiency 33%
• Bounding Box 100%
• Bounding Box Annotation 66%
• Box Constraints 100%
• Dice Score 33%
• Downstream Task 33%
• Foundation Models 100%
• Fully-supervised 33%
• Learning Approaches 33%
• Medical Domain 33%
• Medical Image Segmentation 100%
• Multimodal Data 33%
• Multiple Constraints 33%
• Optimization Scheme 33%
• Pixel-wise 33%
• Prompt Generation 33%
• Prompt Learning 100%
• Pseudo-labeling 33%
• Representational Power 33%
• Segment Anything Model 33%
• Segmentation Mask 33%
• Segmentation Performance 33%
• Supervised Approach 66%
• User Intervention 33%
• Vision Foundation Model 33%
• Weak Supervision 66%
• Weakly Supervised Method 33%
• Weakly Supervised Segmentation 33%

Computer Science

• Annotation 100%
• Foundation Model 100%
• Image Segmentation 100%
• Learning Approach 25%
• Medical Domain 25%
• Prompt Learning 100%
• Segment Anything Model 25%
• Segmentation Performance 25%
• Supervised Method 25%
• Vertebral Column 25%