PARS-NET: a novel deep learning framework using parallel residual conventional neural networks for sparse-view CT reconstruction
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DOI: 10.1088/1748-0221/17/02/p02011
Abstract: Sparse-view computed tomography (CT) is recently proposed as a promising method to speed up data acquisition and alleviate the issue of CT high dose delivery to the patients. However, traditional reconstruction algorithms are time-consuming and… read more here.
Keywords: reconstruction; neural networks; sparse view; pars net ... See more keywords