Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss

Maryam Gholizadeh-Ansari
Maryam Gholizadeh-Ansari

EMBC, pp. 6247-6250, 2019.

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Abstract:

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

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