dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance

09/24/2019

∙

by   Jo Schlemper, et al.

∙

30

∙

share

AUTOMAP is a promising generalized reconstruction approach, however, it is not scalable and hence the practicality is limited. We present dAUTOMAP, a novel way for decomposing the domain transformation of AUTOMAP, making the model scale linearly. We show dAUTOMAP outperforms AUTOMAP with significantly fewer parameters.