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Medical Image Segmentation: UNet++

jinglescode profile image Jingles (Hong Jing) Updated on ・1 min read

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.

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