SSRNet: A CT Reconstruction Network Based on Sparse Connection and Weight Sharing for Parameters Reduction

In recent years, the neural networks are frequently adopted to address the issues of cone beam CT imaging. However, most of the research so far has been to build neural networks individually either in the image domain or in the projection domain for specific purposes, while the connections between t...

Ausführliche Beschreibung