Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss
EMBC, pp. 6247-6250, 2019.
Low-dose CT imaging is a valid approach to reduce patients' exposure to X-ray radiation. However, reducing X-ray current increases noise and artifacts in the reconstructed CT images. Deep neural networks have been successfully employed to remove noise from low-dose CT images. This study proposes two novel techniques to boost the performan...More
Full Text (Upload PDF)
PPT (Upload PPT)