DCNet(acqu, prep, sigma[, denoi, device])
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A FullNet with a Tikhonov-based reconstruction module. |
FullNet(acqu_modules, recon_modules, *[, device])
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Defines an arbitrary full (measurement + reconstruction) network. |
LearnedPGD(acqu, prep[, denoi, iter_stop, ...])
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Learned Proximal Gradient Descent reconstruction network. |
PinvNet(acqu[, prep, denoi, device])
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A FullNet with a pseudo inverse-based reconstruction module. |
PositiveParameters(params[, requires_grad])
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Module that stores a signed tensor and returns its absolute value. |
TikhoNet(acqu, prep, sigma[, denoi, device])
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Pre-built FullNet that uses a Tikhonov reconstruction operator. |