Re:FastMRI leverages adversarial training to remove image ar...
by deepnotderp on Wednesday February 26, 2020 @12:50AM
(#22420643)
> They are using the same principles of acquiring randomized samples, so it's still compressed sensing,
See the second part of my comment. This is only in principle. In practice compressed sensing uses a higher frequency basis and more importantly, this basis is generally not learned, preventing common case bias. Ie a rare condition won't be ignored because it isn't statistically common enough for the NN model to learn.
See the second part of my comment. This is only in principle. In practice compressed sensing uses a higher frequency basis and more importantly, this basis is generally not learned, preventing common case bias. Ie a rare condition won't be ignored because it isn't statistically common enough for the NN model to learn.