TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising

Understand

Low dose computed tomography is a mainstream for clinical applications.

• How-ever, compared to normal dose CT, in the low dose CT (LDCT) images, there are stronger noise and more artifacts which are obstacles for practical applications.
• In the last few years, convolution-based end-to-end deep learning methods have been widely used for LDCT image denoising.
• Recently, transformer has shown superior performance over convolution with more feature interactions.