LAUSR

Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction

Sign Up to like & get
recommendations!
0 Published in 2020 at "NeuroImage"

DOI: 10.1016/j.neuroimage.2020.116579

Abstract: Deep learning (DL) is increasingly used to solve ill-posed inverse problems in medical imaging, such as reconstruction from noisy and/or incomplete data, as DL offers advantages over conventional methods that rely on explicit image features… read more here.

Keywords: reconstruction; image; network; ill posed ... See more keywords