Bridge-connected dual encoders network for multi-scale targets in 2D medical image segmentation

Key Points

• Segmentation accuracy improved by 15% for multi-scale targets in 2D medical imaging.
• The study utilized a dual encoder neural network architecture to process images efficiently.
• Observational analysis focused on various medical images to validate the technique's effectiveness.
• The findings highlight the potential for enhanced diagnostic precision, advocating for further model testing.