UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Understand

Recently, a growing interest has been seen in deep learning-based semantic segmentation.

• UNet, which is one of deep learning networks with an encoder-decoder architecture, is widely used in medical image segmentation.
• Combining multi-scale features is one of important factors for accurate segmentation.
• UNet++ was developed as a modified Unet by designing an architecture with nested and dense skip connections.