U-Net and its variants for medical image segmentation: theory and applications

Understand

U-net is an image segmentation technique developed primarily for medical image analysis that can precisely segment images using a scarce amount of training data.

• These traits provide U-net with a very high utility within the medical imaging community and have resulted in extensive adoption of U-net as the primary tool for segmentation tasks in medical imaging.
• The success of U-net is evident in its widespread use in all major image modalities from CT scans and MRI to X-rays and microscopy.
• Furthermore, while U-net is largely a segmentation tool, there have been instances of the use of U-net in other applications.