MoDL: Model Based Deep Learning Architecture for Inverse Problems.
IEEE Transactions on Medical Imaging(2019)
摘要
We introduce a model-based image reconstruction framework with a convolution neural network (CNN)-based regularization prior. The proposed formulation provides a systematic approach for deriving deep architectures for inverse problems with the arbitrary structure. Since the forward model is explicitly accounted for, a smaller network with fewer parameters is sufficient to capture the image informa...
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关键词
Image reconstruction,Training data,Training,Optimization,Imaging,Numerical models,Machine learning
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