Medical Image Segmentation: UNet++

Nested U-Net architecture is pretty cool, and it has better performance compared to U-Net.

• UNet++ aims to improve segmentation accuracy, with a series of nested, dense skip pathways.
• Redesigned skip pathways made optimisation easier with the semantically similar feature maps.
• Dense skip connections improve segmentation accuracy and improve gradient flow.
• Deep supervision allows for model complexity tuning to balance between speed and performance optimisation.

Read about it!